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Maxim Lapan delivers intuitive explanations and insights into complex reinforcement learning (RL) concepts, starting from the basics of RL on simple environments and tasks to modern, state-of-the-art methods Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesLearn with concise explanations, modern libraries, and diverse applications from games to stock trading and web navigationDevelop deep RL models, improve their stability, and efficiently solve complex environmentsNew content on RL from human feedback (RLHF), MuZero, and transformersBook DescriptionStart your journey into reinforcement learning (RL) and reward yourself with the third edition of Deep Reinforcement Learning Hands-On. This book takes you through the basics of RL to more advanced concepts with the help of various applications, including game playing, discrete optimization, stock trading, and web browser navigation. By walking you through landmark research papers in the fi eld, this deep RL book will equip you with practical knowledge of RL and the theoretical foundation to understand and implement most modern RL papers. The book retains its approach of providing concise and easy-to-follow explanations from the previous editions. You'll work through practical and diverse examples, from grid environments and games to stock trading and RL agents in web environments, to give you a well-rounded understanding of RL, its capabilities, and its use cases. You'll learn about key topics, such as deep Q-networks (DQNs), policy gradient methods, continuous control problems, and highly scalable, non-gradient methods. If you want to learn about RL through a practical approach using OpenAI Gym and PyTorch, concise explanations, and the incremental development of topics, then Deep Reinforcement Learning Hands-On, Third Edition, is your ideal companionWhat you will learnStay on the cutting edge with new content on MuZero, RL with human feedback, and LLMsEvaluate RL methods, including cross-entropy, DQN, actor-critic, TRPO, PPO, DDPG, and D4PGImplement RL algorithms using PyTorch and modern RL librariesBuild and train deep Q-networks to solve complex tasks in Atari environmentsSpeed up RL models using algorithmic and engineering approachesLeverage advanced techniques like proximal policy optimization (PPO) for more stable trainingWho this book is forThis book is ideal for machine learning engineers, software engineers, and data scientists looking to learn and apply deep reinforcement learning in practice. It assumes familiarity with Python, calculus, and machine learning concepts. With practical examples and high-level overviews, it's also suitable for experienced professionals looking to deepen their understanding of advanced deep RL methods and apply them across industries, such as gaming and finance

Build and use the most popular time series index available today with Python to search and join time series at the subsequence level Purchase of the print or Kindle book includes a free PDF eBook.Key FeaturesLearn how to implement algorithms and techniques from research papersGet to grips with building time series indexes using iSAXLeverage iSAX to solve real-world time series problemsBook DescriptionTime series are everywhere, ranging from financial data and system metrics to weather stations and medical records. Being able to access, search, and compare time series data quickly is essential, and this comprehensive guide enables you to do just that by helping you explore SAX representation and the most effective time series index, iSAX. The book begins by teaching you about the implementation of SAX representation in Python as well as the iSAX index, along with the required theory sourced from academic research papers. The chapters are filled with figures and plots to help you follow the presented topics and understand key concepts easily. But what makes this book really great is that it contains the right amount of knowledge about time series indexing using the right amount of theory and practice so that you can work with time series and develop time series indexes successfully. Additionally, the presented code can be easily ported to any other modern programming language, such as Swift, Java, C, C++, Ruby, Kotlin, Go, Rust, and JavaScript. By the end of this book, you'll have learned how to harness the power of iSAX and SAX representation to efficiently index and analyze time series data and will be equipped to develop your own time series indexes and effectively work with time series data.What you will learnFind out how to develop your own Python packages and write simple Python testsUnderstand what a time series index is and why it is usefulGain a theoretical and practical understanding of operating and creating time series indexesDiscover how to use SAX representation and the iSAX indexFind out how to search and compare time seriesUtilize iSAX visualizations to aid in the interpretation of complex or large time seriesWho this book is forThis book is for practitioners, university students working with time series, researchers, and anyone looking to learn more about time series. Basic knowledge of UNIX, Linux, and Python and an understanding of basic programming concepts are needed to grasp the topics in this book. This book will also be handy for people who want to learn how to read research papers, learn from them, and implement their algorithms.

Et al. is a satirical academic journal that uses machine learning and scientific principles on absurd studies, from the cat Lord Whiskers'role in the extinction of the dodo bird to the quantum mysteries of untidy toddler rooms.Key FeaturesConducts satirical research on topics ranging from quantum computing to clingy robot dog algorithmsAnswers questions like “Can a computer understand a Scotsman?” and “Is Sarah Palin real?”Secures the power grid and your home from the prying eyes of government drones a.k.a. birdsExpands science by studying cow-based atmospheres, and the flavortown center of the brainSolves climate change and saves the world by proposing a banana-based fission reactorNullifies the possibility of getting lost at the fair with a mirror-house escape algorithmBook DescriptionTired of the same old math, science, statistics, and programming memes people post online and want something a little more elaborate? This is the book for you. Tremble as we make up all our own facts and data, hand-draw diagrams in MS Paint, and quote from fictional studies and journals. Cower as authors write in the first person because their study is just a little too personal for them. Recoil from the sheer mass of oversimplified methodology, distilling someone's entire thesis into a paragraph of jokes crude enough to make it into a Mike Myers movie. Over the last few years, we have taken arguments that you would normally have after four Jack and cokes at game night and turned them into properly formatted research papers with a writing tone serious enough to confuse the uninitiated. These papers are high-effort jokes by researchers and scientists for researchers and scientists. They cover a range of topics such as the consequences of re-releasing tourists back into Yellowstone National Park after COVID-19, how to play StarCraft competitively online on a quantum computer, and most importantly, how trees around the globe are becoming increasingly radicalized.What you will learnHow to draw a graph using MS Paint, maybeWhether Sarah Palin is a figment of your imaginationHow one pirate cat brought about the extinction of the beloved dodoWhy rabbits used to be jerks back in the dayIf you actually learn anything from these articles, get your memory erased immediatelyWho this book is forThis book is for researchers and those who love science mingled with humor. It's for those who are a little too tired of the talking heads and futurists of the science world and would like something more entertaining in the form of absurd speculative studies by researchers as unbelievable as their work. Anyone who has experienced academic writing, or the tribulations of any research institution will enjoy the wide range of bizarre, yet real-world topics compiled in this book. Even if you don't know much about the subject, we usually have a background section.

Harness the power of LaTeX and its wide range of features to create professional-looking text, articles, and books with both online and offline capabilities of LaTeXKey FeaturesGet a hands-on introduction to LaTeX using fully explained examples to advance from beginner to LaTeX professional quicklyWrite impressive mathematical, scientific, and business papers or theses using LaTeXExplore LaTeX onlineBook DescriptionLaTeX is high-quality open source typesetting software that produces professional prints and PDF files. It's a powerful and complex tool with a multitude of features, so getting started can be intimidating. However, once you become comfortable with LaTeX, its capabilities far outweigh any initial challenges, and this book will help you with just that! The LaTeX Beginner's Guide will make getting started with LaTeX easy. If you are writing mathematical, scientific, or business papers, or have a thesis to write, this is the perfect book for you. With the help of fully explained examples, this book offers a practical introduction to LaTeX with plenty of step-by-step examples that will help you achieve professional-level results in no time. You'll learn to typeset documents containing tables, figures, formulas, and common book elements such as bibliographies, glossaries, and indexes, and go on to manage complex documents and use modern PDF features. You'll also get to grips with using macros and styles to maintain a consistent document structure while saving typing work. By the end of this LaTeX book, you'll have learned how to fine-tune text and page layout, create professional-looking tables, include figures, present complex mathematical formulas, manage complex documents, and benefit from modern PDF features.What you will learnMake the most of LaTeX s powerful features to produce professionally designed textsDownload, install, and set up LaTeX and use additional styles, templates, and toolsTypeset math formulas and scientific expressions to the highest standardsUnderstand how to include graphics and work with figures and tablesDiscover professional fonts and modern PDF featuresWork with book elements such as bibliographies, glossaries, and indexesTypeset documents containing tables, figures, and formulasWho this book is forIf you are about to write mathematical or scientific papers, seminar handouts, or even plan to write a thesis, this book offers you a fast-paced and practical introduction to LaTeX. School and university students will find this easy-to-follow LaTeX guide helpful, as will mathematicians, physicists, engineers, and humanists. Anybody with high expectations from their software will discover how easy it is to leverage LaTeX's high performance for creating documents.

Build a solid foundation in algorithmic trading by developing, testing and executing powerful trading strategies with real market data using PythonKey FeaturesBuild a strong foundation in algorithmic trading by becoming well-versed with the basics of financial marketsDemystify jargon related to understanding and placing multiple types of trading ordersDevise trading strategies and increase your odds of making a profit without human interventionBook DescriptionIf you want to find out how you can build a solid foundation in algorithmic trading using Python, this cookbook is here to help. Starting by setting up the Python environment for trading and connectivity with brokers, you'll then learn the important aspects of financial markets. As you progress, you'll learn to fetch financial instruments, query and calculate various types of candles and historical data, and finally, compute and plot technical indicators. Next, you'll learn how to place various types of orders, such as regular, bracket, and cover orders, and understand their state transitions. Later chapters will cover backtesting, paper trading, and finally real trading for the algorithmic strategies that you've created. You'll even understand how to automate trading and find the right strategy for making effective decisions that would otherwise be impossible for human traders. By the end of this book, you'll be able to use Python libraries to conduct key tasks in the algorithmic trading ecosystem. Note: For demonstration, we're using Zerodha, an Indian Stock Market broker. If you're not an Indian resident, you won't be able to use Zerodha and therefore will not be able to test the examples directly. However, you can take inspiration from the book and apply the concepts across your preferred stock market broker of choice.What you will learnUse Python to set up connectivity with brokersHandle and manipulate time series data using PythonFetch a list of exchanges, segments, financial instruments, and historical data to interact with the real marketUnderstand, fetch, and calculate various types of candles and use them to compute and plot diverse types of technical indicatorsDevelop and improve the performance of algorithmic trading strategiesPerform backtesting and paper trading on algorithmic trading strategiesImplement real trading in the live hours of stock marketsWho this book is forIf you are a financial analyst, financial trader, data analyst, algorithmic trader, trading enthusiast or anyone who wants to learn algorithmic trading with Python and important techniques to address challenges faced in the finance domain, this book is for you. Basic working knowledge of the Python programming language is expected. Although fundamental knowledge of trade-related terminologies will be helpful, it is not mandatory.

Key FeaturesBook DescriptionEvery organization, public or private, processes documents in various formats, especially paper and fax formats. Processing documents manually is an expensive and time-consuming endeavor. Ephesoft Enterprise is a modern document capture solution that allows an organization to automate the business process. It uses powerful technology to classify and capture the vital information from the document's content. This helps to minimize the time your company spends on reviewing and processing any physical and electronic documents. This book teaches you about document capture in general and implementation of document capture using Ephesoft. Start by learning about document capture and how Ephesoft revolutionized the industry. Progress to a tour of key features, including operator and administrator interfaces and then learn to configure Ephesoft to process your business's specific document types and extract content from those documents. You will also get to know the advanced customization techniques that make Ephesoft accommodate your unique business needs. Finally, the book concludes by teaching you how to embed the classification and extraction functionality using Ephesoft's web services. By the end, you will learn to optimize the processing of your documents, saving your company time and money.What you will learnDiscover the benefits of using intelligent document capture in your work placeLearn to capture, classify, and separate any type of documentExtract important information from your documentsTransfer the documents and data into your content management systemCustomize Ephesoft to meet your unique business requirementsUnderstand the integration techniques using the Ephesoft web services APIConvert your paper archive to electronic records efficientlyAutomate business processes that depend on documents in paper, fax, or email attachment formatImplement distributed capture for mailroom automationWho this book is forThis book is intended for information technology professionals interested in installing and configuring Ephesoft Enterprise for their organization, but it is a valuable resource for anyone interested in learning about intelligent document capture.

Discover Adobe Acrobat's most important features and advanced functions that will help you to find easier ways to work Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesMake better use of Adobe Acrobat with this all-in-one reference guide for users in all industries and professionsBuild confidence by integrating Acrobat functions into day-to-day business tasksUnderstand issues that go beyond PDF, such as legal implications of accessibility compliance, document security, and copyright protectionBook DescriptionAdobe Acrobat can help you solve a wide variety of problems that crop up when you work with PDF documents on a daily basis. The most common file type for business and communication, this compact portable document format is widely used to collect as well as present information, as well as being equipped with many lesser-known features that can keep your content secure while making it easy to share. From archive features that will keep your documents available for years to come to features related to accessibility, organizing, annotating, editing, and whatever else you use PDFs for, Acrobat has the answer if you know where to look. Designed for professionals who likely already use Adobe Acrobat Pro, this guide introduces many ideas, features, and online services, sorted and organized for you to easily find the topics relevant to your work and requirements. You can jump to any chapter without sifting through prior pages to explore the tools and functions explained through step-by-step instructions and examples. The information in some chapters may build on existing knowledge, but you are not expected to have an advanced level of prior experience. By the end of this book, you'll have gained a solid understanding of the many capabilities of PDFs and how Acrobat makes it possible to work in a way that you will never miss good old ink and paper.What you will learnUse Adobe Acrobat Pro efficiently through shortcuts and preferencesExpand your knowledge of the functions that you already useUnderstand the connection between PDFs, Acrobat, and other applicationsFind out about unique settings in Adobe InDesign to create high-quality fully featured PDFsAddress legal concerns for information published in a digital formatConfidently move away from the use of ink and paper and help preserve physical resourcesWho this book is forThis book is for anyone working with PDFs on a daily basis, including skilled professionals such as analysts, administrators, architects, engineers, scientists, lawyers, and anyone who can be described as communications workers, including but not limited to artworkers, researchers, technical writers, and accessibility workers who routinely work with PDF and some version of Acrobat.

Work through multiple design projects in this part-color guide to understand how Autodesk Fusion 360 helps improve efficiency and drafting Key FeaturesUnderstand the project workflow of Autodesk Fusion 360Design and redesign projects while learning to fix errorsGain a better insight into repurposing real-world items into Fusion 360 for custom designsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionAutodesk Fusion 360 has become an indispensable tool for designers, tinkerers, and engineers worldwide thanks to its versatility that allows for large-scale assemblies and smaller, quick 3D prints. If you've faced challenges with learning Fusion 360, this book will help you overcome them and build the confidence to design your own projects, explaining step-by-step instructions and the purpose of each tool. In this book, you'll dive into the design workspace and learn sketching fundamentals such as setting up a component, recognizing when a sketch is fully constrained, and parametrically flexing models. Through trial and error, you'll work on multiple easy-to-build projects to create simple, useful items that can be quickly 3D printed for use around the house and then advance to much bigger projects that require joint connectivity and large assemblies. By the end of this book, you'll be able to sketch fully parametric designs, translate them into 3D models, and create your own unique designs.What you will learnGain proficiency in Fusion 360 user interface, navigation, and functionalityCreate and transform simple 2D sketches into 3D modelsManipulate and control parametric 2D sketches using dimensionsBecome familiar with drafting on paper and taking measurements with calipersCreate a bicycle assembly part with Fusion 360Use the form environment to create organic shapesRender a 3D model and understand how to apply materials and lightingGenerate 2D assembly model drawings for documentation purposesWho this book is forBeginner or intermediate designers who prefer hands-on learning will find this book useful, especially designers, woodworkers, 3D printing enthusiasts, and hobbyists who enjoy creating things, rather than experienced machinists. The basic projects are accessible without prior CAD skills, although some fundamental CAD understanding is beneficial for those interested in going further. It is highly recommended that you use a 3-button mouse for all projects to fully utilize floating pop-up menus.

Learn 2D drawing and 3D modeling from scratch using AutoCAD and AutoCAD LT 2023 and become a CAD professionalKey FeaturesLearn techniques for making, modifying, and managing AutoCAD 2D and 3D drawingsUnderstand how to use reusable and named objects like blocks, xRef, and layersScale, annotate, and print drawings from model space and layoutBook DescriptionAutoCAD is one of the most versatile software applications for architectural and engineering designs and the most popular computer-aided design (CAD) platform for 2D drafting and 3D modeling. This hands-on 2nd edition guide will take you through everything you need to know to make the most out of this powerful tool, from a simple tour of the user interface to using advanced tools. Starting with basic drawing shapes and functions, you'll get to grips with the fundamentals of CAD designs. You'll then learn about effective drawing management using layers, dynamic blocks, and groups, and discover how to add annotations and plots like a professional. As you progress, the book will show you how to convert your 2D drawings into 3D models and shapes. You'll also discover advanced features, such as isometric drawings, drawing utilities for managing and recovering complex files, quantity surveying, and multidisciplinary drawing files using xRefs. Finally, you'll focus on rendering and visualizing your designs in AutoCAD. By the end of this book, you'll have developed a solid understanding of CAD principles and be able to work with AutoCAD software confidently to build impressive 2D and 3D creations.What you will learnUnderstand CAD fundamentals like functions, navigation, and componentsCreate complex 3D objects using primitive shapes and editing toolsWork with reusable objects like blocks and collaborate using xRefExplore advanced features like external references and dynamic blocksDiscover surface and mesh modeling tools such as Fillet, Trim, and ExtendUse the paper space layout to create plots for 2D and 3D modelsConvert your 2D drawings into 3D modelsWho this book is forThis 3D modeling book is for design engineers, mechanical engineers, architects, and anyone working in construction, manufacturing, or similar fields. Whether you're an absolute beginner, student, or professional looking to upgrade your engineering design skills, you'll find this AutoCAD book useful. No prior knowledge of CAD or AutoCAD is necessary.

A practical syllabus-based UiPath Associate certification guide to confidently passing your UiPath RPA Associate certification examination, covering real-world business cases, mock tests, and moreKey FeaturesGet certified successfully with this detailed syllabus-oriented examination guideWork with real-world business cases that will help you grasp RPA topics better using practical examplesPractice with quizzes and mock exam papers with answers to prepare for the exam confidentlyBook DescriptionUiPath is the most popular vendor in the Robotic Process Automation (RPA) industry. If you're an RPA enthusiast or citizen developer who wants to succeed in the industry, achieving this certification can help you get accredited and ready for real-world challenges using UiPath. UiPath Associate Certification Guide offers complete, up-to-date coverage of the UiPath RPA Associate certification exam to help you pass on the first attempt and get certified. The book is written in a clear, succinct way with self-assessment questions, quizzes with answers at the end of each chapter, exam tips, and mock exams with detailed answers and explanations. You'll start by getting to grips with the basic concepts of UiPath RPA, and then progress to an in-depth discussion of all the concepts required for Associate certification. Finally, you'll develop UiPath skills by gaining the required knowledge and implement these skills using sample business cases. By the end of this UiPath book, you'll have covered everything you need to pass the exam, gained the knowledge you need to work on real-world case studies, and learned how to apply the various concepts to build enterprise-level use cases.What you will learnGet to grips with the basic concepts of UiPath RPAEquip yourself with every resource required to pass the Associate exam on the first attemptGain the ability to apply what you ve learned using real-world use casesWork on different use cases and test your knowledge by taking quizzesGet a feel for the real exam with practice questions and mock examsUnderstand the concepts used in building enterprise-level use casesWho this book is forThis RPA book is for those in technical and semi-technical roles such as citizen RPA developers, junior RPA developers, RPA developers, solution architects, business analysts, system administrators, college or university students and graduates, and UiPath and partner employees in pre-sales, services, support, and so on. If you are looking to get certified and meet the industry standard with the largest RPA vendor, then this book is for you.

One-stop solution for NLP practitioners, ML developers, and data scientists to build effective NLP systems that can perform real-world complicated tasksKey FeaturesApply deep learning algorithms and techniques such as BiLSTMS, CRFs, BPE and more using TensorFlow 2Explore applications like text generation, summarization, weakly supervised labelling and moreRead cutting edge material with seminal papers provided in the GitHub repository with full working codeBook DescriptionRecently, there have been tremendous advances in NLP, and we are now moving from research labs into practical applications. This book comes with a perfect blend of both the theoretical and practical aspects of trending and complex NLP techniques. The book is focused on innovative applications in the field of NLP, language generation, and dialogue systems. It helps you apply the concepts of pre-processing text using techniques such as tokenization, parts of speech tagging, and lemmatization using popular libraries such as Stanford NLP and SpaCy. You will build Named Entity Recognition (NER) from scratch using Conditional Random Fields and Viterbi Decoding on top of RNNs. The book covers key emerging areas such as generating text for use in sentence completion and text summarization, bridging images and text by generating captions for images, and managing dialogue aspects of chatbots. You will learn how to apply transfer learning and fine-tuning using TensorFlow 2. Further, it covers practical techniques that can simplify the labelling of textual data. The book also has a working code that is adaptable to your use cases for each tech piece. By the end of the book, you will have an advanced knowledge of the tools, techniques and deep learning architecture used to solve complex NLP problems. What you will learnGrasp important pre-steps in building NLP applications like POS taggingUse transfer and weakly supervised learning using libraries like SnorkelDo sentiment analysis using BERTApply encoder-decoder NN architectures and beam search for summarizing textsUse Transformer models with attention to bring images and text togetherBuild apps that generate captions and answer questions about images using custom TransformersUse advanced TensorFlow techniques like learning rate annealing, custom layers, and custom loss functions to build the latest DeepNLP modelsWho this book is forThis is not an introductory book and assumes the reader is familiar with basics of NLP and has fundamental Python skills, as well as basic knowledge of machine learning and undergraduate-level calculus and linear algebra. The readers who can benefit the most from this book include intermediate ML developers who are familiar with the basics of supervised learning and deep learning techniques and professionals who already use TensorFlow/Python for purposes such as data science, ML, research, analysis, etc.

Publisher s note: This edition from 2020 is based on AutoCAD 2021 and AutoCAD LT 2021 and does not make use of the most recent AutoCAD features. A new second edition, updated for AutoCAD 2023 and AutoCAD LT 2023 including new topics, such as Floating drawing windows and the COUNT feature, has now been published.Key FeaturesExplore the AutoCAD GUI, file format, and drawing tools to get started with CAD projectsLearn to use drawing management tools for working efficiently on large projectsDiscover techniques for creating, modifying, and managing 3D models and converting 2D plans into 3D modelsBook DescriptionAutoCAD and AutoCAD LT are one of the most versatile software applications for architectural and engineering designs and the most popular computer-aided design (CAD) platform for 2D drafting and 3D modeling. This hands-on guide will take you through everything you need to know to make the most out of this powerful tool, starting from a simple tour of the user interface through to using advanced tools. Starting with basic drawing shapes and functions, you'll get to grips with the fundamentals of CAD designs. You'll then learn about effective drawing management using layers, dynamic blocks, and groups and discover how to add annotations and plot like professionals. The book delves into 3D modeling and helps you convert your 2D drawings into 3D models and shapes. As you progress, you'll cover advanced tools and features such as isometric drawings, drawing utilities for managing and recovering complex files, quantity surveying, and multidisciplinary drawing files using xRefs, and you'll learn how to implement them with the help of practical exercises at the end of each chapter. Finally, you'll get to grips with rendering and visualizing your designs in AutoCAD. By the end of the book, you'll have developed a solid understanding of CAD principles and be able to work with AutoCAD software confidently to build impressive 2D and 3D drawings.What you will learnUnderstand CAD fundamentals using AutoCAD's basic functions, navigation, and componentsCreate complex 3d solid objects starting from the primitive shapes using the solid editing toolsWorking with reusable objects like Blocks and collaborating using xRefExplore some advanced features like external references and dynamic blockGet to grips with surface and mesh modeling tools such as Fillet, Trim, and ExtendUse the paper space layout in AutoCAD for creating professional plots for 2D and 3D modelsConvert your 2D drawings into 3D modelsWho this book is forThe book is for design engineers, mechanical engineers, architects, and anyone working in construction, manufacturing, or similar fields. Whether you're an absolute beginner, student, or professional looking to upgrade your engineering design skills, you'll find this AutoCAD book useful. No prior knowledge of CAD or AutoCAD is necessary.

Get up to speed with expert tips and techniques to help you prepare effectively for the MS-500 ExamKey FeaturesBook DescriptionThe Microsoft 365 Security Administration (MS-500) exam is designed to measure your ability to perform technical tasks such as managing, implementing, and monitoring security and compliance solutions for Microsoft 365 environments. This book starts by showing you how to configure and administer identity and access within Microsoft 365. You will learn about hybrid identity, authentication methods, and conditional access policies with Microsoft Intune. Next, the book shows you how RBAC and Azure AD Identity Protection can be used to help you detect risks and secure information in your organization. You will also explore concepts, such as Advanced Threat Protection, Windows Defender ATP, and Threat Intelligence. As you progress, you will learn about additional tools and techniques to configure and manage Microsoft 365, including Azure Information Protection, Data Loss Prevention, and Cloud App Discovery and Security. The book also ensures you are well prepared to take the exam by giving you the opportunity to work through a mock paper, topic summaries, illustrations that briefly review key points, and real-world scenarios. By the end of this Microsoft 365 book, you will be able to apply your skills in the real world, while also being well prepared to achieve Microsoft certification.What you will learnGet up to speed with implementing and managing identity and accessUnderstand how to employ and manage threat protectionGet to grips with managing governance and compliance features in Microsoft 365Explore best practices for effective configuration and deploymentImplement and manage information protectionPrepare to pass the Microsoft exam and achieve certification with the help of self-assessment questions and a mock examWho this book is forThis Microsoft certification book is designed to help IT professionals, administrators, or anyone looking to pursue a career in security administration by becoming certified with Microsoft's role-based qualification. Those trying to validate their skills and improve their competitive advantage with Microsoft 365 Security Administration will also find this book to be a useful resource.

Discover powerful ways to use deep learning algorithms and solve real-world computer vision problems using Python Key Features Solve the trickiest of problems in computer vision by combining the power of deep learning and neural networks Leverage PyTorch 1.x capabilities to perform image classification, object detection, and more Train and deploy enterprise-grade, deep learning models for computer vision applications Book Description Computer vision techniques play an integral role in helping developers gain a high-level understanding of digital images and videos. With this book, you'll learn how to solve the trickiest problems in computer vision (CV) using the power of deep learning algorithms, and leverage the latest features of PyTorch 1.x to perform a variety of CV tasks. Starting with a quick overview of the PyTorch library and key deep learning concepts, the book then covers common and not-so-common challenges faced while performing image recognition, image segmentation, object detection, image generation, and other tasks. Next, you'll understand how to implement these tasks using various deep learning architectures such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), long short-term memory (LSTM), and generative adversarial networks (GANs). Using a problem-solution approach, you'll learn how to solve any issue you might face while fine-tuning the performance of a model or integrating it into your application. Later, you'll get to grips with scaling your model to handle larger workloads, and implementing best practices for training models efficiently. By the end of this CV book, you'll be proficient in confidently solving many CV related problems using deep learning and PyTorch. What you will learn Develop, train and deploy deep learning algorithms using PyTorch 1.x Understand how to fine-tune and change hyperparameters to train deep learning algorithms Perform various CV tasks such as classification, detection, and segmentation Implement a neural style transfer network based on CNNs and pre-trained models Generate new images and implement adversarial attacks using GANs Implement video classification models based on RNN, LSTM, and 3D-CNN Discover best practices for training and deploying deep learning algorithms for CV applications Who this book is for Computer vision professionals, data scientists, deep learning engineers, and AI developers looking for quick solutions for various computer vision problems will find this book useful. Intermediate-level knowledge of computer vision concepts, along with Python programming experience is required.Michael Avendi is a principal data scientist with vast experience in deep learning, computer vision, and medical imaging analysis. He works on the research and development of data-driven algorithms for various imaging problems, including medical imaging applications. His research papers have been published in major medical journals, including the Medical Imaging Analysis journal. Michael Avendi is an active Kaggle participant and was awarded a top prize in a Kaggle competition in 2017.

Master the concepts and techniques that will enable you to succeed on the SK0-004 exam the first time with the help of this study guideKey FeaturesExplore virtualisation, IPv4 & IPv6 networking, administration and moreEnhancing limited knowledge of server configuration and functionA study guide that covers the objectives for the certification examinationBook DescriptionCompTIA Server+ Certification is one of the top 5 IT certifications that is vendor neutral.System administrators opt for CompTIA server+ Certification to gain advanced knowledge of concepts including troubleshooting and networking. This book will initially start with the configuration of a basic network server and the configuration for each of its myriad roles. The next set of chapters will provide an overview of the responsibilities and tasks performed by a system administrator to manage and maintain a network server. Moving ahead, you will learn the basic security technologies, methods, and procedures that can be applied to a server and its network. Next, you will cover the troubleshooting procedures and methods in general, and specifically for hardware, software, networks, storage devices, and security applications. Toward the end of this book, we will cover a number of troubleshooting and security mitigation concepts for running admin servers with ease. This guide will be augmented by test questions and mock papers that will help you obtain the necessary certification. By the end of this book, you will be in a position to clear Server+ Certification with ease.What you will learnUnderstand the purpose and role of a server in a computer networkReview computer hardware common to network serversDetail the function and configuration of network operating systemsDescribe the functions and tasks of network operating system administrationExplain the various data storage options on a computer networkDetail the need for, and the functioning and application of, network and server securityDescribe the operational elements of a network provided by a serverExplain the processes and methods involved in troubleshooting server issuesWho this book is forThis book is targeted towards professionals seeking to gain the CompTIA Server+ certification. People coming from a Microsoft background with basic operating system and networking skills will also find this book useful. Basic experience working with system administration is mandatory.

Learn from the AWS subject-matter experts, apply real-world scenarios and clear the AWS Certified Solutions Architect –Associate examKey FeaturesBuild highly reliable and scalable workloads on the AWS platformPass the exam in less time and with confidenceGet up and running with building and managing applications on the AWS platformBook DescriptionAmazon Web Services (AWS) is currently the leader in the public cloud market. With an increasing global interest in leveraging cloud infrastructure, the AWS Cloud from Amazon offers a cutting-edge platform for architecting, building, and deploying web-scale cloud applications. As more the rate of cloud platform adoption increases, so does the need for cloud certification. The AWS Certified Solution Architect – Associate Guide is your one-stop solution to gaining certification. Once you have grasped what AWS and its prerequisites are, you will get insights into different types of AWS services such as Amazon S3, EC2, VPC, SNS, and more to get you prepared with core Amazon services. You will then move on to understanding how to design and deploy highly scalable applications. Finally, you will study security concepts along with the AWS best practices and mock papers to test your knowledge. By the end of this book, you will not only be fully prepared to pass the AWS Certified Solutions Architect – Associate exam but also capable of building secure and reliable applications. What you will learnExplore AWS terminology and identity and access managementAcquaint yourself with important cloud services and features in categories such as compute, network, storage, and databasesDefine access control to secure AWS resources and set up efficient monitoringBack up your database and ensure high availability by understanding all of the database-related services in the AWS CloudIntegrate AWS with your applications to meet and exceed non-functional requirementsBuild and deploy cost-effective and highly available applicationsWho this book is forThe AWS Certified Solutions Architect –Associate Guide is for you if you are an IT professional or Solutions Architect wanting to pass the AWS Certified Solution Architect – Associate 2018 exam. This book is also for developers looking to start building scalable applications on AWS

A complete guide on course development and delivery using Moodle 3.xKey FeaturesGet the best out of the latest Moodle 3 framework to ensure successful learningCreate 3rd party plugins and widgets and secure your course efficientlyCreate your first Moodle VR app using the Moodle VR toolsetBook DescriptionMoodle is a learning platform or Course Management System (CMS) that is easy to install and use, but the real challenge is in developing a learning process that leverages its power and maps the learning objectives to content and assessments for an integrated and effective course. Moodle 3 E-Learning Course Development guides you through meeting that challenge in a practical way. This latest edition will show you how to add static learning material, assessments, and social features such as forum-based instructional strategy, a chat module, and forums to your courses so that students reach their learning potential. Whether you want to support traditional class teaching or lecturing, or provide complete online and distance e-learning courses, this book will prove to be a powerful resource throughout your use of Moodle. You'll learn how to create and integrate third-party plugins and widgets in your Moodle app, implement site permissions and user accounts, and ensure the security of content and test papers. Further on, you'll implement PHP scripts that will help you create customized UIs for your app. You'll also understand how to create your first Moodle VR e-learning app using the latest VR learning experience that Moodle 3 has to offer. By the end of this book, you will have explored the decisions, design considerations, and thought processes that go into developing a successful course.What you will learnKnow what Moodle does and how it supports your teaching strategiesInstall Moodle on your computer and navigate your way around itUnderstand all of Moodle s learning featuresMonitor how learners interact with your site using site statisticsAdd multimedia content to your siteAllow students to enroll themselves or invite other students to join a courseWho this book is forThis book is for anyone who wants to get the best out of Moodle. As a beginner, this is a thorough guide for you to understand how the software works, with great ideas for getting off to a good start with your first course. Some experience of working with e-learning systems will be beneficial. Experienced Moodle users will find powerful insights into developing successful and educational courses.

Understand your users, gain strategic user insights, and make your product development more efficient with user experience mappingKey FeaturesDetailed guidance on the major types of User Experience Maps.Design and analyse user tests to improve communication with stakeholders.Get to grips with creating wireflows, mental model maps, ecosystem maps, and solution mapsBook DescriptionDo you want to create better products and innovative solutions? User experience maps will help you understand your users and improve communication with them. Maps can also champion user-centricity within the organization. This book is the first print resource covering two advanced mapping techniques—the behavioral change map and the 4D UX map. You'll explore user story maps, task models, and journey maps, while also creating wireflows, mental model maps, ecosystem maps, and solution maps. You'll learn how to use insights from real users to create and improve your maps and products. The book delves into each major user experience map type, ranging from simple techniques based on sticky notes to more complex map types, and guides you in solving real-world problems with maps. You'll understand how to create maps using a variety of software products, including Adobe Illustrator, Balsamiq Mockups, Axure RP, and Microsoft Word. Besides, you can draw each map type with pen and paper too! The book also showcases communication techniques and workshop ideas. You'll learn about the Kaizen-UX management framework, developed by the author, now used by many agencies and in-house UX teams in Europe and beyond. Buying this book will give you hundreds of hours worth of user experience knowledge, from one of the world's leading UX consultants. It will change your users'world for the better. If you are still not convinced, we have hidden some cat drawings in it, just in case.What you will learnDevelop and understand all common user experience map typesUse lab or remote user research to create maps and understand users betterDesign behavioral change and represent it with mapsCreate 4D user experience maps, the ultimate UX deliverableCapture many levels of interaction in a holistic viewUse experience mapping in an agile team, and learn how maps help in communicating within the team and with stakeholdersEmphasize user focus and help your organization become user-centricWho this book is forThis book is for product managers, service managers, and designers who are keen on learning user experience mapping techniques

About This BookLearn how to make complex shapes by editing basic onesMake printable objects from multiple shapes and partsLearn how to design from scratch, without a reference to physical objectsWho This Book Is ForIf you have basic knowledge of Blender and 3D printing and are interested in printing your first object, then this book is for you.What You Will LearnGet to know the guiding principles required to create 3D printer-friendly modelsUnderstand material characteristics, printing specifications, tolerances, and design tipsMaster the art of modifying basic shapes with Blender's powerful editing tools: extrude, loop cuts, and other transformationsLearn techniques of editing complex meshes, smoothing, combining shapes, and exporting them into STL files for printingIn DetailThis book will cover the very basic but essential techniques you need to model an organic and functional object for 3D printing using Blender. Starting with pen and paper and then moving on to the computer, you will create your first project in Blender, add basic geometric shapes, and use techniques such as extruding and subdividing to transform these shapes into complex meshes. You will learn how modifiers can automatically refine the shape further and combine multiple shapes into a single 3D printable model.By the end of the book, you will have gained enough practical hands-on experience to be able to create a 3D printable object of your choice, which in this case is a 3D print-ready octopus pencil holder.

About This BookLearn how to design a 3D printable model from an existing physical objectRekindle your mathematical mind to design perfectly interlocking complex pieces of a puzzlePersonalize the puzzle's design with a photo or shape of your own choiceWho This Book Is ForThis book is meant for intermediate designers with some familiarity with Blender and an interest in 3D printing.What You Will LearnGet to know the guiding principles required to create 3D printer-friendly modelsLearn knowledge critical to using the free modeling and animation program, BlenderDesign, manipulate, and export 3D models for 3D printing with BlenderMaster the art of creating meshes, scaling, subdivision, and adding detail with the Boolean modifier as well as sculpting a custom shapeCut a model into small pieces and learn how to design complex interlocking jointsIn DetailThis book will give you hands-on experience in designing a model for 3D printing: a simple puzzle with a complex shape. You'll begin with the basics of 3D design and an introduction to the free 3D modeling and animation software, Blender. You'll acquire important knowledge to start using Blender and be on your way to mastery of the most powerful and versatile free modeling program that exists today.Through project-based learning, you'll quickly be introduced to some simple and effective principles of designing 3D-printed objects. You'll explore various robust sculpting methods supported by Blender that allow you to edit objects with actions as easy as drawing on paper or sculpting with clay.Finally, when the sculpted model is complete, you'll learn some methods of cutting it and carve out its interlocking pieces with perfectly calibrated tolerances so that the final model fits without being too loose or too tight.

A complete guide for Python programmers to master scientific computing using Python APIs and tools.Key FeaturesBook DescriptionIn today's world, along with theoretical and experimental work, scientific computing has become an important part of scientific disciplines. Numerical calculations, simulations and computer modeling in this day and age form the vast majority of both experimental and theoretical papers. In the scientific method, replication and reproducibility are two important contributing factors. A complete and concrete scientific result should be reproducible and replicable. Python is suitable for scientific computing. A large community of users, plenty of help and documentation, a large collection of scientific libraries and environments, great performance, and good support makes Python a great choice for scientific computing. At present Python is among the top choices for developing scientific workflow and the book targets existing Python developers to master this domain using Python. The main things to learn in the book are the concept of scientific workflow, managing scientific workflow data and performing computation on this data using Python. The book discusses NumPy, SciPy, SymPy, matplotlib, Pandas and IPython with several example programs.What you will learnFundamentals and components of scientific computingScientific computing data managementPerforming numerical computing using NumPy and SciPyConcepts and programming for symbolic computing using SymPyUsing the plotting library matplotlib for data visualizationData analysis and visualization using Pandas, matplotlib, and IPythonPerforming parallel and high performance computingReallife case studies and best practices of scientific computingWho this book is forIf you are a Python programmer and want to get your hands on scientific computing, this book is for you. The book expects you to have had exposure to various concepts of Python programming.

Learn frontend development the Angular way – build your first production-grade web applications from scratch in Angular with the help of expert guidance and step-by-step explanations. Purchase of the print or Kindle book includes a free eBook in PDF format.Key FeaturesExplore the basics of Angular development, from components and templates to forms, routing, and servicesGet up to speed with the new paradigms modern Angular brings, including standalone APIs, new control flow syntax, Signals, and server-side rendering (SSR)Discover best practices for building, deploying, debugging, and testing Angular applicationsBook DescriptionAngular is an extremely fast, cross-platform JavaScript framework loved by millions. Learning Angular is a comprehensive introduction to the framework from an experienced Angular developer and Google Developer Expert. You'll learn the Angular way of development as you build a real-world app from the ground up. Updated for Angular 19, this fifth edition tackles landmark changes in Angular after the “Angular Renaissance”. It covers app creation with standalone components, Angular Signals, and the new control flow syntax, while acknowledging differences in approach in older Angular code. You'll also find a brand-new chapter on optimizing performance with SSR and hydration, as well as revamped content on TypeScript. Angular developers of all experience levels will benefit from this book. It is especially useful if you are new to Angular, as it will help you get to grips with the bare bones of the framework. By the end of this book, you'll be able to create Angular applications with TypeScript from scratch and apply best practices in any Angular codebase.What you will learnUse the Angular CLI to scaffold, build, and deploy new Angular applicationsCreate Angular applications using standalone APIsBuild rich components with Angular template syntaxApply reactivity patterns with the RxJS library and SignalsCraft beautiful user interfaces using Angular MaterialCreate HTTP data services to access APIs and provide data to componentsImprove your debugging and error handling skills during runtime and developmentOptimize application performance with SSR and hydration techniquesWho this book is forThis book is for JavaScript developers and web developers dipping their feet for the first time in the world of frontend development with Angular, as well as those migrating to the Angular framework to build professional web applications. Current Angular developers looking to catch up with modern Angular will also find this book useful. You'll need prior exposure to JavaScript and a solid foundation in the basics of web programming before you get started with this book.

Prevent common pitfalls in your Salesforce solutions by optimizing your Salesforce architecture with the help of this updated guideKey FeaturesBuild a solid foundation in Salesforce architecture to troubleshoot and enhance your implementationsDevelop expertise in designing and implementing complex Salesforce architecturesExplore common mistakes in Salesforce anti-patterns and their impact on program performancePurchase of the print or Kindle book includes a free PDF eBookBook DescriptionWhile Salesforce is a powerful platform, it is prone to common pitfalls that can result in suboptimal performance, increased costs, and reduced user satisfaction. Known as anti-patterns, these problems can arise from design flaws, poor implementation choices, or a lack of understanding of best practices. Written by a seasoned Salesforce professional and 33-time certified Salesforce Certified Technical Architect, this revised edition will teach you how to identify and avoid common issues, optimize your Salesforce architecture, and ensure successful implementation. This second edition is updated with a comprehensive exploration of Salesforce, along with the addition of the most common Salesforce anti-patterns, providing in-depth analysis and practical solutions. These key learnings will further refine your skills to help you build more robust, scalable, and efficient Salesforce architectures. The chapters offer an expanded coverage of emerging technology trends such as AI and DevOps, updated examples, and additional case studies to ensure that you have the latest information and insights. By the end of this book, you'll have gained the confidence and expertise needed to design and implement effective Salesforce solutions. What you will learnDiscover common architectural mistakes and learn how anti-patterns can improve your architectural skillsFind out how to design Salesforce data models the right waySet up data governance to prevent common issuesIdentify common data architecture issues and discover innovative ways to address themExplore common errors made in deployment setups, test strategy, and architecture governanceMaster the art of leveraging AI in integration architecturesWho this book is forThis book is for Salesforce architects, aspiring architects, developers, consultants, and decision makers who want to start making the right architectural choices or prepare for their journey to CTA. This book is not code-centric, so you will benefit from both functional and technical experience, but a basic level of platform understanding is required.

Learn expert design techniques from Barbara Tulissi, seasoned designer and Canva coach, to create professional-quality visuals for social media, presentations, and print—with or without a Pro subscriptionKey FeaturesMaximize Canva capabilities using its free and Pro featuresMaster the art of developing eye-catching designs for social media, print, and presentationsLearn Canva tricks, graphic design basics, and timesaving techniques for efficient design workflowsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionDrawing from her expertise in digital design, Barbara Tulissi will guide you through Canva's user-friendly platform, showcasing how to create stunning visuals and transform your basic Canva knowledge into professional-level design skills. The Canva Cookbook starts with a quick overview of Canva, guiding you through its main features and ensuring you're set up for success, before focusing on creating a brand. You will do this through workbook-like questions and activities, helping you understand your brand's vision, values, and voice. After that, each chapter focuses on specific design objectives, providing step-by-step recipes on crafting engaging social media content, creating eye-catching videos and ads, and developing print-ready materials. Through a blend of theory, instructions, and examples, you'll also learn how to make your designs more accessible – including the use of captions and alt text – as well as how to harness the power of Canva AI for efficient and powerful brand storytelling. By the end of this book, you'll not only be able to create visually compelling projects but you will have also built up a powerful skill arsenal that will help you speed up your creative process and unleash your creativity with Canva.What you will learnCreate captivating static designs for various social media platformsCraft animated designs for video posts and adsAccelerate your design process with time-saving techniquesDevelop visuals for effective brand storytellingEnsure accessibility and inclusivity in your designsPlan and produce a strong, clear brandWho this book is forThis book is aimed at passionate designers with a basic understanding of Canva who want to use the platform to elevate their visual communication skills and create engaging, creative projects. Specifically, this book focuses on entrepreneurs who would like to elevate their design skills to help develop a personal or professional brand. This book is also useful for graphic designers, social media managers, and content creators who want to align their designs with an already-established brand.

Master TensorFlow, Keras, and PyTorch for deep learning in AI applications. Learn neural networks, CNNs, RNNs, LSTMs, and GANs through hands-on exercises and real-world projects.Key FeaturesTensorFlow, Keras, and PyTorch for diverse deep learning frameworksNeural network concepts with real-world industry relevanceCloud and edge AI deployment techniques for scalable solutionsBook DescriptionDive into the world of deep learning with this comprehensive guide that bridges theory and practice. From foundational neural networks to advanced architectures like CNNs, RNNs, and Transformers, this book equips you with the tools to build, train, and optimize AI models using TensorFlow, Keras, and PyTorch. Clear explanations of key concepts such as gradient descent, loss functions, and backpropagation are combined with hands-on exercises to ensure practical understanding. Explore cutting-edge AI frameworks, including generative adversarial networks (GANs) and autoencoders, while mastering real-world applications like image classification, text generation, and natural language processing. Detailed chapters cover transfer learning, fine-tuning pretrained models, and deployment strategies for cloud and edge computing. Practical exercises and projects further solidify your skills as you implement AI solutions for diverse challenges. Whether you're deploying AI models on cloud platforms like AWS or optimizing them for edge devices with TensorFlow Lite, this book provides step-by-step guidance. Designed for developers, AI enthusiasts, and data scientists, it balances theoretical depth with actionable insights, making it the ultimate resource for mastering modern deep learning frameworks and advancing your career in AIWhat you will learnUnderstand neural network basicsBuild models using TensorFlow and KerasTrain and optimize PyTorch modelsApply CNNs for image recognitionUse RNNs and LSTMs for sequence tasksLeverage Transformers in NLPWho this book is forThis book is for software developers, AI enthusiasts, data scientists, and ML engineers who aim to master deep learning frameworks. A foundational understanding of programming and basic ML concepts is recommended. Ideal for those seeking hands-on experience in real-world AI projects.

Empower your leadership with this detailed guide for CAIOs and business leaders to drive innovation, address complex challenges, and implement ethical AI strategiesKey FeaturesExplore practical frameworks for effective AI team building and team managementImplement and Optimize AI Agents and Agentic Systems through design and implementation of AI agents.Gain actionable advice for leveraging AI to drive innovation and strategic growthPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionChief Artificial Intelligence Officers (CAIOs) are now imperative for businesses, enabling organizations to achieve strategic goals and unlock transformative opportunities through the power of AI. By building intelligent systems, training models to drive impactful decisions, and creating innovative applications, they empower organizations to thrive in an AI-driven world. Written by Jarrod Anderson, Chief AI Officer at SYRV.AI, this book bridges the gap between visionary leadership and practical execution. This handbook reimagines AI leadership for today's fast-paced environment, leveraging predictive, deterministic, generative, and agentic AI to address complex challenges and foster innovation. It provides CAIOs with the strategies to develop transformative AI initiatives, build and lead elite teams, and adopt AI responsibly while maintaining compliance. From shaping impactful solutions to achieving measurable business outcomes, this guide offers a roadmap for making AI your organization's competitive edge. By the end of this book, you'll have the knowledge and tools to excel as a Chief AI Officer, driving innovation, strategic growth, and lasting success for your organization.What you will learnDevelop and execute AI strategy as a CAIO, ensuring ethical complianceMaster agile AI project management from ideation to deploymentApply deterministic and probabilistic AI concepts through case studiesDesign and implement AI agents for autonomous system optimizationCreate human-centered AI systems using proven design principlesEnhance AI security through data privacy and model protection measuresWho this book is forThis book is for chief AI officers, business leaders, AI and data science professionals, IT managers, entrepreneurs, consultants, academic leaders, policymakers, and general business professionals. This diverse audience seeks to understand not only the technical intricacies of AI, but also how to leverage AI to solve real-world business problems, drive innovation, and achieve strategic goals.

Apply supervised and unsupervised machine learning algorithms using C++ libraries, such as PyTorch C++ API, Flashlight, Blaze, mlpack, and dlib using real-world examples and datasetsKey FeaturesFamiliarize yourself with data processing, performance measuring, and model selection using various C++ librariesImplement practical machine learning and deep learning techniques to build smart modelsDeploy machine learning models to work on mobile and embedded devicesPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionWritten by a seasoned software engineer with several years of industry experience, this book will teach you the basics of machine learning (ML) and show you how to use C++ libraries, along with helping you create supervised and unsupervised ML models. You'll gain hands-on experience in tuning and optimizing a model for various use cases, enabling you to efficiently select models and measure performance. The chapters cover techniques such as product recommendations, ensemble learning, anomaly detection, sentiment analysis, and object recognition using modern C++ libraries. You'll also learn how to overcome production and deployment challenges on mobile platforms, and see how the ONNX model format can help you accomplish these tasks. This new edition has been updated with key topics such as sentiment analysis implementation using transfer learning and transformer-based models, as well as tracking and visualizing ML experiments with MLflow. An additional section shows you how to use Optuna for hyperparameter selection. The section on model deployment into mobile platform now includes a detailed explanation of real-time object detection for Android with C++. By the end of this C++ book, you'll have real-world machine learning and C++ knowledge, as well as the skills to use C++ to build powerful ML systems.What you will learnEmploy key machine learning algorithms using various C++ librariesLoad and pre-process different data types to suitable C++ data structuresFind out how to identify the best parameters for a machine learning modelUse anomaly detection for filtering user dataApply collaborative filtering to manage dynamic user preferencesUtilize C++ libraries and APIs to manage model structures and parametersImplement C++ code for object detection using a modern neural networkWho this book is forThis book is for beginners looking to explore machine learning algorithms and techniques using C++. This book is also valuable for data analysts, scientists, and developers who want to implement machine learning models in production. Working knowledge of C++ is needed to make the most of this book.

Explore the critical role of probability and statistics in building AI systems. A detailed resource for machine learning enthusiasts to solidify their understanding of the mathematical and statistical underpinnings of AI.Key FeaturesDetailed exploration of probability and statistics in AI developmentStep-by-step explanation of key statistical concepts with practical applicationsA comprehensive coverage of models, Markov processes, and hierarchical techniquesBook DescriptionDelve into the importance of probability and statistics in AI, beginning with fundamental measures like mean, median, and variance. This book takes you on a journey through the basics of probability theory, introducing key concepts such as central tendency, variance, and probability distributions. It emphasizes the role of statistical measures in understanding and analyzing data. Building on these foundations, the book explores hypothesis testing, Bayesian inference, and statistical distributions in-depth. Readers will gain practical insights into essential techniques for model evaluation, maximum likelihood estimation, and the interpretation of data in the context of AI applications. Each concept is illustrated with practical examples and case studies to ensure clarity and application. Finally, advanced topics like Markov processes, hierarchical Bayesian models, and multivariate distributions are introduced. The book addresses critical areas like variance, correlation, and hypothesis testing, equipping readers with the skills to tackle real-world challenges in AI and machine learning. Whether you're a student, professional, or AI enthusiast, this book offers the essential statistical tools and knowledge to excel in the field.What you will learnUnderstand probability theory and its foundational role in AIExplore statistical measures and distributions for data analysisApply Bayesian models for decision-making processesLearn hypothesis testing and model evaluation techniquesMaster Markov models for sequential data analysisUnderstand hierarchical Bayesian models and their applicationsWho this book is forStudents and professionals in data science, artificial intelligence, and machine learning will find this book invaluable. A solid understanding of high school-level algebra and basic calculus is required. This book is ideal for readers who aim to strengthen their statistical and probabilistic skills for use in artificial intelligence applications. It is also beneficial for academics and researchers who want a comprehensive resource on probability and statistics in machine learning.

Learn machine learning through hands-on Python projects, covering core concepts, essential libraries, and real-world applications for aspiring data scientists.Key FeaturesComprehensive coverage of machine learning fundamentals and advanced topicsReal-world projects to apply skills in practical scenariosIntegration of Python libraries for data science and AI developmentBook DescriptionThis book takes you on a journey through the world of machine learning, beginning with foundational concepts such as supervised and unsupervised learning, and progressing to advanced topics like feature engineering, hyperparameter tuning, and dimensionality reduction. Each chapter blends theory with practical exercises to ensure a deep understanding of the material. The book emphasizes Python, introducing essential libraries like NumPy, Pandas, Matplotlib, and Scikit-learn, along with deep learning frameworks like TensorFlow and PyTorch. You'll learn to preprocess data, visualize insights, and build models capable of tackling complex datasets. Hands-on coding examples and exercises reinforce concepts and help bridge the gap between knowledge and application. In the final chapters, you'll work on real-world projects like predictive analytics, clustering, and regression. These projects are designed to provide a practical context for the techniques learned and equip you with actionable skills for data science and AI roles. By the end, you'll be prepared to apply machine learning principles to solve real-world challenges with confidence.What you will learnBuild machine learning models using Python librariesApply feature engineering and preprocessing techniquesVisualize datasets with Matplotlib and SeabornOptimize machine learning models with hyperparameter tuningImplement clustering and dimensionality reduction methodsWork on real-world projects for practical experienceWho this book is forAspiring data scientists, software developers, and tech enthusiasts seeking to master machine learning concepts and Python libraries. Basic Python knowledge is recommended but not required, as foundational topics are covered.

Apply time-tested design patterns and techniques to build robust and maintainable applications using modern practicesKey FeaturesIdentify and avoid common gotchas and anti-patterns in TypeScript app developmentLeverage functional and reactive paradigms for effective TypeScript developmentDiscover how to improve your application's code reusability and testabilityPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionDesign patterns are the backbone of many world-renowned software applications, both commercial and open source. Written by a well-known author and accomplished software developer, this in-depth guide will empower you to build robust and scalable TypeScript apps with design patterns in TypeScript 5, making it your go-to resource for mastering TypeScript and leveraging design patterns effectively. This second edition has been updated with TypeScript 5 features, such as improved type inference, union enums, and decorators to write clean and maintainable code that can adapt to future changes. The chapters teach you the classic Gang of Four design patterns, providing traditional and modern real-world implementations. You'll also get a clear understanding of the power of functional and reactive programming patterns that have been specifically designed for idiomatic TypeScript development. By the end of this book, you'll be a design pattern pro, capable of confidently identifying and applying the right pattern for any scenario, as well as crafting well-structured, maintainable, and testable TypeScript code. What you will learnComprehend the principles of design patterns and their role in TypeScript developmentExplore essential design patterns, including creational, structural, and behavioral patterns with TypeScriptDifferentiate between design patterns and design concepts and apply them effectivelyDevelop practical expertise in implementing design patterns in TypeScript projects through in-depth insightsExplore advanced patterns from functional and reactive programming paradigmsArchitect scalable and robust TypeScript apps using design patterns and best practicesWho this book is forIf you're a TypeScript developer looking to learn how to apply established design patterns to solve common programming problems instead of reinventing solutions, you'll find this book useful. Prior knowledge of design patterns is not necessary—all you need is basic TypeScript knowledge to get started with this book.

Learn NLP with Python through practical exercises, advanced topics like transformers, and real-world projects such as chatbots and dashboards. A comprehensive guide for mastering NLP techniques.Key FeaturesA comprehensive guide to processing, analyzing, and modeling human language with PythonReal-world projects that reinforce NLP concepts, including chatbot design and sentiment analysisFoundational and advanced NLP techniques for practical applications in diverse domainsBook DescriptionEmbark on a comprehensive journey to master natural language processing (NLP) with Python. Begin with foundational concepts like text preprocessing, tokenization, and key Python libraries such as NLTK, spaCy, and TextBlob. Explore the challenges of text data and gain hands-on experience in cleaning, tokenizing, and building basic NLP pipelines. Early chapters provide practical exercises to solidify your understanding of essential techniques. Advance to sophisticated topics like feature engineering using Bag of Words, TF-IDF, and embeddings like Word2Vec and BERT. Delve into language modeling with RNNs, syntax parsing, and sentiment analysis, learning to apply these techniques in real-world scenarios. Chapters on topic modeling and text summarization equip you to extract insights from data, while transformer-based models like BERT take your skills to the next level. Each concept is paired with Python-based examples, ensuring practical mastery. The final chapters focus on real-world projects, such as developing chatbots, sentiment analysis dashboards, and news aggregators. These hands-on applications challenge you to design, train, and deploy robust NLP solutions. With its structured approach and practical focus, this book equips you to confidently tackle real-world NLP challenges and innovate in the field.What you will learnClean and preprocess text data using Python effectivelyMaster tokenization techniques for words, sentences, and charactersBuild robust NLP pipelines with feature engineering methodsImplement sentiment analysis with machine learning modelsPerform topic modeling using LDA, LSA, and other algorithmsDevelop chatbots and dashboards for real-world applicationsWho this book is forThis book is ideal for students, researchers, and professionals in machine learning, data science, and artificial intelligence who want to master NLP. Beginners will benefit from the step-by-step introduction to text processing and feature engineering, while experienced practitioners can explore advanced topics like transformers and real-world projects. Basic knowledge of Python and familiarity with programming concepts are recommended to fully utilize the content. Enthusiasts with a passion for language technology will also find this guide valuable for building practical NLP applications.

Automate vulnerability scanning, network monitoring, and web application security using Python scripts, while exploring real-world case studies and emerging trends like AI and ML in security automationKey FeaturesGain future-focused insights into using machine learning and AI for automating threat detection and responseGet a thorough understanding of Python essentials, tailored for security professionalsDiscover real-world applications of Python automation for enhanced securityPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionDesigned to address the most common pain point for security teams—scalability—Security Automation with Python leverages the author's years of experience in vulnerability management to provide you with actionable guidance on automating security workflows to streamline your operations and improve your organization's overall security posture. What makes this book stand out is its hands-on approach. You won't just learn theoretical concepts—you'll apply Python-based automation techniques directly to real-world scenarios. Whether you're automating vulnerability scans, managing firewall rules, or responding to security incidents, this book provides clear examples and use cases, breaking down complex topics into easily digestible steps. With libraries like Paramiko, Requests, and PyAutoGUI, you'll automate everything from network scanning and threat intelligence gathering to system patching and alert management. Plus, this book focuses heavily on practical tips for error handling, scaling automation workflows, and integrating Python scripts into larger security infrastructures. By the end of this book, you'll have developed a set of highly valuable skills, from creating custom automation scripts to deploying them in production environments, and completed projects that can be immediately put to use in your organization.What you will learnUse Python libraries to automate vulnerability scans and generate detailed reportsIntegrate Python with security tools like Nessus to streamline SecOpsWrite custom Python scripts to perform security-related tasksAutomate patch management to reduce the risk of security breachesEnhance threat intelligence gathering and improve your proactive defense strategiesScale security automation workflows for large environmentsImplement best practices for error handling, logging, and optimizing workflowsIncorporate automation into security frameworks like NIST 800-53 and FedRAMPWho this book is forThis book is for cybersecurity professionals, security analysts, system administrators, and developers looking to leverage Python to automate and enhance their security operations. Whether you're new to Python or experienced in scripting, the book provides practical examples, real-world case studies, and future-focused insights into security automation trends.

Confidently implement React in your next project with this in-depth overview of React's core features – now updated for React 19. Purchase of the print or Kindle book includes a free PDF ebook and bonus content from the author. Key FeaturesWork through clear, concise explanations of core React 19 functionalitiesComplete practical exercises that challenge you to build your own simple appsDiscover fullstack React with Next.js, React Server Components, Suspense, and moreBook DescriptionMaximilian Schwarzmüller is a bestselling instructor who has helped more than three million students worldwide learn how to code. His bestselling React video course, “React – The Complete Guide”, has over nine hundred thousand students on Udemy. Max has written this quick-start reference that distills the core concepts of React. Simple explanations, relevant examples, and step-by-step derivations make this guide the ideal resource for busy developers. In this second edition, Max guides you through changes brought by React 19, including the new use() hook, form actions, and how to think about React on the server. This book will support you through your next React projects in giving you a behind-the-scenes understanding of the framework – whether you've just finished Max's video course and are looking for a handy reference, or you're using a variety of other learning materials and need a single study guide to bring everything together. You'll find full solutions to all end-of-chapter quizzes and exercises in the book's GitHub repository.What you will learnBuild modern, user-friendly, and reactive web appsCreate components and utilize props to pass data between themHandle events, perform state updates, and manage conditional contentAdd styles dynamically and conditionally for modern user interfacesUse advanced state management techniques such as React's Context APIUtilize React Router to render different pages for different URLsUnderstand key best practices and optimization opportunitiesLearn about React Server Components and Server ActionsWho this book is forThis React book is for developers who have prior experience with, or who are currently learning, the basics of React. You can use this book as a standalone resource to consolidate your understanding or as a companion guide to other courses. To get the most value from this book, you should have a basic understanding of the fundamentals of JavaScript, HTML, and CSS.

Write and integrate C# scripts, develop game mechanics, enhance UI/UX, and build both 3D and 2D games, all while discovering advanced techniques in AI, multiplayer, and VRKey FeaturesMaster C# scripting and game mechanics in Unity, from basic movement to advanced AI functionalitiesBuild a complete game with real-world applications and case studiesEnhance your game development skills in Unity with AI, multiplayer, and VRPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionAs developers tackle the growing complexity of creating immersive, high-performance games, the need for robust and efficient scripting continues to increase. Written by a game developer and Unity/C# expert known for his Apple App Store titles and extensive certifications, this book will help both new and seasoned developers overcome this challenge by helping you build a solid foundation in C# scripting within Unity and navigate the increasing demands of real-time game development. You'll explore Unity-specific strategies for creating engaging user interfaces, vital in today's dynamic gaming landscape. The chapters walk you through Unity-specific classes and methods, empowering you to create diverse gaming experiences in both 3D and 2D environments. You'll also manage complex developmental aspects, including AI, multiplayer setups, and VR integration, which are becoming increasingly relevant in the evolving gaming industry. The book serves as an invaluable resource for troubleshooting, offering techniques for debugging C# scripts and optimizing game performance—essential for crafting smooth and immersive gaming experiences. By the end of this book, you'll be able to create both simple and complex games in Unity, opening doors to careers in game development and interactive media design.What you will learnCreate, modify, and interact with game objects in the Unity sceneExplore techniques to implement game logic and mechanics using C#Manage game assets efficiently using asset bundlesCreate engaging and intuitive user interfaces to enhance user experience in gamesExplore strategies for developing both 2D and 3D games in UnityBuild techniques for debugging C# scripts and optimize game performanceImplement multiplayer features using Unity's networking capabilitiesWho this book is forThis book is for game developers, from beginners to those with some experience in Unity. It's perfect for anyone looking to enhance their C# scripting skills in game development. Programmers, game designers, and hobbyists will find this book invaluable for mastering Unity-specific techniques and advancing their game mechanics and UI design skills. You should have a basic understanding of programming concepts and the C# language. Familiarity with Unity3D's interface and basic game development principles is beneficial but not mandatory.

This book ushers readers into the world of data, emphasizing its importance in modern industries and how its management leads to insightful decision-making. Using Python 3, the book introduces foundational data tasks and progresses to advanced model training concepts. Detailed, step-by-step Python examples help readers master training models, starting with the kNN algorithm and moving to other classifiers with minimal code adjustments. Tools like Sweetviz, Skimpy, Matplotlib, and Seaborn are introduced for hands-on chart and graph rendering.The course begins with working with data, detecting outliers and anomalies, and cleaning datasets. It then introduces statistics and progresses to using Matplotlib and Seaborn for data visualization. Each chapter builds on the previous one, ensuring a comprehensive understanding of data management and analysis.These concepts are crucial for making data-driven decisions. This book transitions readers from basic data handling to advanced model training, blending theoretical knowledge with practical skills. Companion files with source code and data sets enhance the learning experience, making this book an invaluable resource for mastering data science with Python.

This book is designed for computer science undergraduates and professionals interested in mastering 3D graphics using OpenGL in Java with JOGL. It follows a “teach-yourself” format with numerous examples that can be run as presented. Unique in its approach, it covers OpenGL 4.0+ shader programming using Java, providing all the necessary materials to install JOGL and execute every example. The course starts with an introduction to OpenGL and the graphics pipeline, followed by mathematical foundations essential for 3D graphics. It then delves into managing 3D graphics data, texture mapping, and creating 3D models. Lighting, shadows, and enhancing surface detail are covered, along with advanced techniques like parametric surfaces, tessellation, and geometry shaders. The final chapters explore simulating water, ray tracing, and stereoscopy for 3D glasses and VR headsets. This book equips readers with comprehensive skills in OpenGL programming and 3D graphics, making it an invaluable resource for developing sophisticated graphics applications. The practical approach ensures thorough learning, bridging the gap between theory and application.

This book provides fundamental concepts of cybersecurity and cybercrime in an easy-to-understand, self-teaching format. It covers data security, threats, viruses, malicious software, firewalls, VPNs, security architecture, design, policies, cyberlaw, and cloud security.The course starts with an introduction to information systems and cybersecurity application security. It progresses to developing secure information systems and understanding information security policies, standards, and cyberlaw. The final chapters address the security of emerging technologies, including cloud security, IoT, and AES.Understanding these concepts is crucial for protecting data and systems against cyber threats. This book transitions readers from basic knowledge to advanced cybersecurity practices, combining theoretical insights with practical applications. It is an invaluable resource for mastering cybersecurity in today's digital age.

This book addresses the rapid growth of cybercrime by focusing on cryptography and system security. It emphasizes rigorous security models and practices in network and system design. The first part introduces system security concepts, object models, and inter-object communications, providing a foundation in cryptography for beginners and advanced readers alike.The course starts with basic security concepts, moving to public key cryptography, SSL, and transaction security on the web. It covers IP security, firewalls, public key certificates, and security at the IP layer. Readers will also learn about remote access with Internet Protocol security and virtual private networks. The final chapters address the security of emerging technologies like Big Data Analytics, cloud computing, IoT, Smart Grid, SCADA, control systems, and Wireless Sensor Networks.Understanding these concepts is crucial for protecting against cyber threats. This book transitions readers from basic knowledge to advanced security practices, blending theoretical insights with practical applications. It is an invaluable resource for mastering cryptography and system security in today's digital age.