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Summary: Making Media Theory is about the study, practice, and hands-on design of media theory. It looks at experimental research methods and engages in media analysis, inviting readers to respond to and shape the materiality of media while carefully considering the implications of living in a technoculture. The author walks readers through the creation of digital objects to think with, where critical design practices serve as tools for exploring social and philosophical issues related to technological being and becoming.

Summary: This book considers the role journalism education plays in coping with a changing media landscape. It looks at how journalists can empower themselves in an effort to excel in an evolving environment and considers whether it suffices for them to master pre-millennial basic skills or whether brand new competencies need to be incorporated. Few dramatic qualifications are spared when discussing the changes that have shaken the news environment during the noughties. Digitization has both empowered and tried professional journalists through multimedia news production, media convergence and not least a maturing commercial internet. Moreover, digitization has also influenced, and been influenced by, other societal changes such as global financial tensions, evolving multicultural societies, and emerging democracies in search for a suitable journalistic paradigm. Indeed, the rather technological evolutions emphasized time and again, cannot be detached from a cultural setting. This is why an investigation in required competencies benefits from an explicit socio-cultural and cross-continental perspective. As this book tackles a varied set of news ecosystems, it is our hope to offer a nuanced view on what indeed seems to be a global fluidity in journalism practice. Explicit emphasis is put on the role of journalism education as facilitator for, and even innovator in, required journalistic competencies. Time will tell whether or not 'news ecosystems' will again stabilize. This volume makes a number of concrete recommendations towards journalism training and discusses a number of case studies across several continents, illustrating how goals are attuned to a changed news environment. As this book links academic paradigms to concrete journalism practice and education, its reading is recommended both for practitioners and educators.

Summary: "Contemporary journalism faces a crisis of trust that threatens the institution and may imperil democracy itself. Critics and experts see a renewed commitment to local journalism as one solution. But a lasting restoration of public trust requires a different kind of local journalism than is often imagined, one that engages with and shares power among all sectors of a community. Andrea Wenzel models new practices of community-centered journalism that build trust across boundaries of politics, race, and class, and prioritize solutions while engaging the full range of local stakeholders. Informed by case studies from rural, suburban, and urban settings, Wenzel's blueprint reshapes journalism norms and creates vigorous storytelling networks between all parts of a community. Envisioning a portable, rather than scalable, process, Wenzel proposes a community-centered journalism that, once implemented, will strengthen lines of local communication, reinvigorate civic participation, and forge a trusting partnership between media and the people they cover"-- Provided by publisher.

Summary: "The book begins by going over the basics of R and the tidyverse. You learn R throughout the book, but in the first part we go over the building blocks needed to keep learning during the rest of the book"-- Provided by publisher.

Summary: "In an age when young people may confuse online chatter with legitimate news, Navigating the News is the first textbook designed to show students how to recognize credible reporting and how real journalists perform their jobs. The book begins with the basics of how to critically assess news stories, then covers what to look for in everything from community news and crime reporting to business, political and investigative coverage. More than 50 professional journalists share insights on how they gather, edit and report news, and discuss what critical audiences should expect from their news coverage. Students learn how to analyze complex topics including science, environmental and education news, and a series of chapters covers how to approach news from different parts of the world. Navigating the News is aimed at general audiences, not just journalism or communication majors. Given the importance and timeliness of the subject, this book could easily be the core text for general education classes on news and media literacy. The trend toward teaching young people how to understand and assess news is gaining momentum at universities everywhere"-- Provided by publisher.

Summary: Organizations can make data science a repeatable, predictable tool, which business professionals use to get more value from their data Enterprise data and AI projects are often scattershot, underbaked, siloed, and not adaptable to predictable business changes. As a result, the vast majority fail. These expensive quagmires can be avoided, and this book explains precisely how.' Data science is emerging as a hands-on tool for not just data scientists, but business professionals as well. Managers, directors, IT leaders, and analysts must expand their use of data science capabilities for the organization to stay competitive. Smarter Data Science helps them achieve their enterprise-grade data projects and AI goals. It serves as a guide to building a robust and comprehensive information architecture program that enables sustainable and scalable AI deployments. When an organization manages its data effectively, its data science program becomes a fully scalable function that's both prescriptive and repeatable. With an understanding of data science principles, practitioners are also empowered to lead their organizations in establishing and deploying viable AI. They employ the tools of machine learning, deep learning, and AI to extract greater value from data for the benefit of the enterprise. By following a ladder framework that promotes prescriptive capabilities, organizations can make data science accessible to a range of team members, democratizing data science throughout the organization. Companies that collect, organize, and analyze data can move forward to additional data science achievements: -Improving time-to-value with infused AI models for common use cases -Optimizing knowledge work and business processes -Utilizing AI-based business intelligence and data visualization -Establishing a data topology to support general or highly specialized needs -Successfully completing AI projects in a predictable manner -Coordinating the use of AI from any compute node. From inner edges to outer edges: cloud, fog, and mist computing When they climb the ladder presented in this book, businesspeople and data scientists alike will be able to improve and foster repeatable capabilities. They will have the knowledge to maximize their AI and data assets for the benefit of their organizations.

Summary: "Over 70 in-depth interviews of Fintech Founders provide lessons from some of the most successful fintech entrepreneurs that will help you understand the challenges and opportunities of applying technology and collaboration to solve some key problems of the financial services industry. This book is for entrepreneurs, for people working inside of large organizations and everyone in between who is interested to learn the secrets of successful entrepreneurs. In this advice-filled resource, Rubini gathers advice that comes from a diverse range of financial services niches including financing, banking, payments, wealth management, insurance, and cryptocurrencies, to help you harness the insights of thought leaders. Those working inside the financial services industry and those interested in working in or starting up businesses in financial services will learn valuable lessons on how to take an idea forward, how to find the right business founders, how to seek funding, how to learn from initial mistakes, and how to define and reposition your business model. Rubini also inquires into the future of fintech and uncovers provoking and insightful predictions."-- Provided by publisher

Summary: Learn how to build a design system framed within the context of your specific business needs. This book guides you through the process of defining a design language that can be understood across teams, while also establishing communication strategies for how to sell your system to key stakeholders and other contributors. With a defined set of components and guidelines, designers can focus their efforts on solving user needs rather than recreating elements and reinventing solutions. You'll learn how to use an interface inventory to surface inconsistencies and inefficient solutions, as well as how to establish a component library by documenting existing patterns and creating new ones. You'll also see how the creation of self-documenting styles and components will streamline your UX process. Building Design Systems provides critical insights into how to set up a design system within your organization, measure the effectiveness of that system, and maintain it over time. You will develop the skills needed to approach your design process systematically, ensuring that your design system achieves the purpose of your organization, your product, and your team. What You'll Learn Develop communication strategies necessary to gain buy-in from key stakeholders and other teams Establish principles based on your specific needs Design, build, implement, and maintain a design system from the ground up Measure the effectiveness of your system over time Who This Book Is For All teams, large and small, seeking to unify their design language through a cohesive design system and create buy-in for design thinking within their organization; UX, visual, and interaction designers, as well as product managers and front-end developers will benefit from a systematic approach to design.

Summary: "Humans, like many other animals, are highly social species. But what exactly makes us social? How do our biological systems implement social behavior? And, in turn, how do these social processes impact our brain and biology? These are the questions that define the young field of social neuroscience, a field that combines the study of animal models and humans in order to understand the neural, hormonal, cellular, and genomic mechanisms underlying social processes and behaviors such as imitation, loneliness, empathy, and cooperation. Intended for advanced undergraduates and graduate students, this is the first textbook to provide a synthetic approach to social neuroscience. Here, students and scholars are introduced to the field by examining a growing body of evidence that shows that the nervous system cannot be understood without consideration of the social environments in which humans and many animal species live. The first three chapters introduce readers to the neurological basis for social behavior and the concept of the social brain. Chapters four through six discuss how mental states are communicated between people. And chapters seven through nine cover the neural roots of social interactions and group thought patterns. Ultimately, this book demonstrates how the brain mediates social behaviour and provides a foundational textbook for this nascent field"-- Provided by publisher.

Summary: Artificial Intelligence in Cancer: Diagnostic to Tailored Treatment provides theoretical concepts and practical techniques of AI and its applications in cancer management, building a roadmap on how to use AI in cancer at different stages of healthcare.

Summary: "In 2007-8 the world economy started its heady journey down in to recession. The Queen herself asked "why didn't we see this coming", but it's a question that remains unanswered. A decade on and it is still not clear exactly who is responsible for the crisis. The world has experienced the long-term impact of austerity policies on its welfare system and the political landscape is completely changed. This analysis of the media that reported on this crisis and where it came from is long overdue. The media were responsible for warning the public - a role they failed in. This book provides evidence that journalism, like bankers and regulators, needs to be held accountable. The Global Financial Crisis is a starting point, but it deserves a much wider context and explanation, one this book provides for the first time. This book assesses the role financial and economics journalists should play for society, the limits and challenges they face, the reality of the situation as we see in the content that has been narrowing. It does so with some empirical evidence and interviews with some esteemed and esteemed journalists"-- Provided by publisher.

Summary: This book includes research articles and expository papers on the applications of artificial intelligence and big data analytics to battle the pandemic. In the context of COVID-19, this book focuses on how big data analytic and artificial intelligence help fight COVID-19. The book is divided into four parts. The first part discusses the forecasting and visualization of the COVID-19 data. The second part describes applications of artificial intelligence in the COVID-19 diagnosis of chest X-Ray imaging. The third part discusses the insights of artificial intelligence to stop spread of COVID-19, while the last part presents deep learning and big data analytics which help fight the COVID-19. .

Summary: Explore the world of using machine learning methods with deep computer vision, sensors and data in sports, health and fitness and other industries. Accompanied by practical step-by-step Python code samples and Jupyter notebooks, this comprehensive guide acts as a reference for a data scientist, machine learning practitioner or anyone interested in AI applications. These ML models and methods can be used to create solutions for AI enhanced coaching, judging, athletic performance improvement, movement analysis, simulations, in motion capture, gaming, cinema production and more. Packed with fun, practical applications for sports, machine learning models used in the book include supervised, unsupervised and cutting-edge reinforcement learning methods and models with popular tools like PyTorch, Tensorflow, Keras, OpenAI Gym and OpenCV. Author Kevin Ashley--who happens to be both a machine learning expert and a professional ski instructor--has written an insightful book that takes you on a journey of modern sport science and AI. Filled with thorough, engaging illustrations and dozens of real-life examples, this book is your next step to understanding the implementation of AI within the sports world and beyond. Whether you are a data scientist, a coach, an athlete, or simply a personal fitness enthusiast excited about connecting your findings with AI methods, the authors practical expertise in both tech and sports is an undeniable asset for your learning process. Todays data scientists are the future of athletics, and Applied Machine Learning for Health and Fitness hands you the knowledge you need to stay relevant in this rapidly growing space. You will: Use multiple data science tools and frameworks Apply deep computer vision and other machine learning methods for classification, semantic segmentation, and action recognition Build and train neural networks, reinforcement learning models and more Analyze multiple sporting activities with deep learning Use datasets available today for model training Use machine learning in the cloud to train and deploy models Apply best practices in machine learning and data science.

Summary: "Gain the skills you need to succeed in the television industry and master the production process, from shooting and producing, to editing and distribution. This new and updated 17th edition of Television Production offers a thorough and practical guide to professional TV production techniques. Learn how to anticipate and quickly overcome commonly encountered problems in television production as author Jim Owens details each role and process, including the secrets of top-grade camerawork, persuasive lighting techniques, and effective sound treatment, as well as the subtle processes of scenic design, directing, and the art of video editing. Updated throughout, containing a range of new figures and diagrams, the 17th edition of this classic text includes: - A discussion of the changing definition of 'television' and how new technology alters viewing habits; - Interviews with professionals in the industry about the challenges they face during the production process and the advice they would give to those trying to break into the production and television industries; - A review of production practices and techniques for VR; - A description of the latest cameras and equipment, including LED lighting and remote production; - Guidance and techniques for low-budget, DIY-style productions; - A comprehensive resource page for instructors, containing slides and testing materials to aid in the learning process can be found at www.routledge.com/cw/owens."-- Provided by publisher.

Summary: Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this practical guide-now including examples in Python as well as R-explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data scientists use statistical methods but lack a deeper statistical perspective. If you're familiar with the R or Python programming languages, and have had some exposure to statistics but want to learn more, this quick reference bridges the gap in an accessible, readable format. With this updated edition, you'll dive into: Exploratory data analysis Data and sampling distributions Statistical experiments and significance testing Regression and prediction Classification Statistical machine learning Unsupervised learning.-- Source other than the Library of Congress.

Summary: Reservoir Simulation: Machine Learning and Modeling helps the engineer step into the current and most popular advances in reservoir simulation, learning from current experiments and speeding up potential collaboration opportunities in research and technology. This reference explains common terminology, concepts, and equations through multiple figures and rigorous derivations, better preparing the engineer for the next step forward in a modeling project and avoid repeating existing progress. Well-designed exercises, case studies and numerical examples give the engineer a faster start on advancing their own cases. Both computational methods and engineering cases are explained, bridging the opportunities between computational science and petroleum engineering. This book delivers a critical reference for today's petroleum and reservoir engineer to optimize more complex developments.

Summary: "A guide to mining and analyzing data from social media websites. Combines both practical exercises and conceptual lessons on topics like writing a script to tap into an API and even how to analyze the data of an automated Twitter bot."-- provided by publisher.

Summary: Artificial Intelligence (AI) gets your system to think smart and learn intelligently. This book is packed with some of the smartest trending examples with which you will learn the fundamentals of AI. By the end, you will have acquired the basics of AI by practically applying the examples in this book.

Summary: "Ritwik Ghatak's 1960 film The Cloud-Capped Star (Meghe Dhaka Tara) has been hailed as "a modern masterpiece" and "one of the great classics of world cinema", "an extraordinary, revelatory work" (Adrian Martin), and "one of the five or six greatest melodramas in cinema history" (Serge Daney). It is arguably the best-known of Ghatak's films, and its striking blend of modernist aesthetics and melodramatic force has intrigued audiences for decades. Its focus on a family uprooted by the Partition of India and its powerful exploration of displacement and historical trauma give it a renewed relevance in the midst of a global refugee crisis. Manishita Dass's study of the film situates it within Ghatak's film-making career and in its historical and cultural contexts: the Indian Partition of 1947 and its corrosive effects on everyday life in Bengal; the influence of Calcutta's incipient film society movement and the Indian left cultural movement of the 1940s on Ghatak; and the shaping of his cosmopolitan cinematic sensibility through eclectic encounters with world cinema, film theory, Marxism, and Indian music. Dass offers a close reading of the film, locating its emotional and intellectual force in what she describes as its "cinematic theatricality," bringing into focus Ghatak's modernist experiments with melodramatic devices, and his deliberate jettisoning of cinematic realism, as well as discusssing the film's unconventional use of music and its distinctive soundtrack. Her detailed textual analysis draws on archival research and connects the film to Ghatak's work in the theatre and his writings on film and theatre. Lastly, Dass provides an overview of the film's reception, internationally and in India, at the time of its release and afterwards. It also points to the relevance of the film for debates about melodrama, cinematic modernism, and global art cinema, and its haunting resonance for the present period of mass displacements"-- Provided by publisher.

Summary: Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare covers exciting developments at the intersection of computer science and statistics. While much of machine-learning is statistics-based, achievements in deep learning for image and language processing rely on computer sciences use of big data. Aimed at those with a statistical background who want to use their strengths in pursuing AI research, the book: Covers broad AI topics in drug development, precision medicine, and healthcare. Elaborates on supervised, unsupervised, reinforcement, and evolutionary learning methods. Introduces the similarity principle and related AI methods for both big and small data problems. Offers a balance of statistical and algorithm-based approaches to AI. Provides examples and real-world applications with hands-on R code. Suggests the path forward for AI in medicine and artificial general intelligence. As well as covering the history of AI and the innovative ideas, methodologies and software implementation of the field, the book offers a comprehensive review of AI applications in medical sciences. In addition, readers will benefit from hands on exercises, with included R code.

Summary: "This expansive, lively introduction charts the connections between international youth cultures and the development of global media and communication. From 1950s drive-ins and jukeboxes to contemporary social media, the book examines modern youth cultures in their social, economic and political contexts. Exploring the rise of young people as a distinct media market, the book examines the relation of youth to modern consumerism, marketing and digital technologies. The chapters are packed with analysis of media representations of youth, debates about the media's 'effects' on young audiences, and young people's use of the media to elaborate identities and negotiate social relationships. Drawing on a wealth of international examples, the book explores the impact of globalisation and new media technologies on youth cultures around the world. Assessing a profusion of worldwide research, the book shows how modern youth cultures can only be understood as part of an international web of connections, exchanges and experiences. With an ideal balance between detailed examples and engaging analysis, this book is a must-read for anyone interested in youth cultures and the modern media"-- Provided by publisher.

Summary: A spotlight on the development process and contributing team members; An introduction to coding languages for interactive media; and A guide to usability in interactive media. Introduction to Interactive Digital Media will help both students and professionals understand the varied creative, technical, and collaborative skills needed in this exciting and emerging field"-- Provided by publisher.

Summary: This book addresses the major challenges in realizing smart city and sensing platforms in the era of the IoT and the Cloud. Challenges vary from cost and energy efficiency to availability and service quality. To tackle these challenges, sensors must meet certain expectations and requirements such as size constraints, manufacturing costs and resistance to environmental factors. The book focuses on both the design and implementation aspects for smart city and sensing applications that are enabled and supported by IoT paradigms. Attention is also given to data delivery approaches and performance aspects.

Summary: "An anticipated third edition of the go-to text on agenda-setting"-- Provided by publisher.

Summary: This book examines journalism’s ability to promote and foster cohesive and collective action while critically examining its place in the intensifying battle to maintain a society’s social order. From chapters discussing the challenges journalists face in covering populism and Donald Trump, to chapters about issues of race in the news, intersections of journalism and nationalism, and increased mobilities of audiences and communicators in a digital age, Reimagining Journalism and Social Order in a Fragmented Media World focuses on the pitfalls and promises of journalism in moments of social contestation. Rich with perspectives from across the globe, this book connects journalism studies to critical scholarship on social order and social control, nationalism, social media, geography, and the function of news as a social sphere. In a fragmented media world and in times of social contestation, Reimagining Journalism and Social Order in a Fragmented Media World provides readers with insights as to how journalism operates in order to highlight―and enhance―elements and actions that bring about order. This book was originally published as a special issue of Journalism Studies and a special issue of Journalism Practice.

Summary: Research on Smart Grids has recently focused on the energy monitoring issue, with the objective of maximizing the user consumption awareness in building contexts on the one hand, and providing utilities with a detailed description of customer habits on the other. In particular, Non-Intrusive Load Monitoring (NILM), the subject of this book, represents one of the hottest topics in Smart Grid applications. NILM refers to those techniques aimed at decomposing the consumption-aggregated data acquired at a single point of measurement into the diverse consumption profiles of appliances operating in the electrical system under study. This book provides a status report on the most promising NILM methods, with an overview of the publically available dataset on which the algorithm and experiments are based. Of the proposed methods, those based on the Hidden Markov Model (HMM) and the Deep Neural Network (DNN) are the best performing and most interesting from the future improvement point of view. One method from each category has been selected and the performance improvements achieved are described. Comparisons are made between the two reference techniques, and pros and cons are considered. In addition, performance improvements can be achieved when the reactive power component is exploited in addition to the active power consumption trace.

Summary: This book provides hands-on instruction and fully-coded working examples for the most common machine learning techniques used by developers and technical professionals. It contains a breakdown of each ML variant, explaining how it works and how it is used within certain industries, allowing readers to incorporate the presented techniques into their own work as they follow along. It is an accessible, comprehensive guide for the non-mathematician, providing clear guidance that allows readers to: learn the languages of machine learning including Hadoop, Mahout, and Weka; understand decision trees, Bayesian networks, and artificial neural networks; implement association rule, real time, and batch learning; develop a strategic plan for safe, effective, and efficient machine learning

Summary: This book explores the main concepts, algorithms, and techniques of Machine Learning and data mining for aerospace technology. Satellites are the ‘eagle eyes’ that allow us to view massive areas of the Earth simultaneously, and can gather more data, more quickly, than tools on the ground. Consequently, the development of intelligent health monitoring systems for artificial satellites – which can determine satellites’ current status and predict their failure based on telemetry data – is one of the most important current issues in aerospace engineering. This book is divided into three parts, the first of which discusses central problems in the health monitoring of artificial satellites, including tensor-based anomaly detection for satellite telemetry data and machine learning in satellite monitoring, as well as the design, implementation, and validation of satellite simulators. The second part addresses telemetry data analytics and mining problems, while the last part focuses on security issues in telemetry data.

Summary: The book compiles efficient design and test methodologies for the implementation of reversible logic circuits. The methodologies covered in the book are design approaches, test approaches, fault tolerance in reversible circuits and physical implementation techniques. The book also covers the challenges and the reversible logic circuits to meet these challenges stimulated during each stage of work cycle. The novel computing paradigms are being explored to serve as a basis for fast and low power computation.

Summary: "The Empire Strikes Back (1980), the second film in the original Star Wars trilogy, is often cited as the 'best' and most popular Star Wars movie. In her compelling study, Rebecca Harrison draws on previously unpublished archival research to reveal a variety of original and often surprising perspectives on the film, from the cast and crew who worked on its production through to the audiences who watched it in cinemas. Harrison guides readers on a journey that begins with the film's production in 1979 and ends with a discussion about its contemporary status as an object of reverence and nostalgia. She demonstrates how Empire's meaning and significance has continually shifted over the past 40 years not only within the franchise, but also in broader conversations about film authorship, genre, and identity. Offering new insights and original analysis of Empire via its cultural context, production history, textual analysis, exhibition, reception, and post-1980 re-evaluations of the film, the book provides a timely and relevant reassessment of this enduringly popular film"-- Provided by publisher.

Summary: Evolve your traditional intranet platform into a next-generation digital workspace with this comprehensive book. Through in-depth coverage of strategies, methods, and case studies, you will learn how to design and build an employee experience platform (EXP) for improved employee productivity, engagement, and collaboration. In Build a Next-Generation Digital Workplace, author Dr. Shailesh Kumar Shivakumar takes you through the advantages of EXPs and shows you how to successfully implement one in your organization. This book provides extensive coverage of topics such as EXP design, user experience, content strategy, integration, EXP development, collaboration, and EXP governance. Real-world case studies are also presented to explore practical applications. Employee experience platforms play a vital role in engaging, empowering, and retaining the employees of an organization. Next-generation workplaces demand constant innovation and responsiveness, and this book readies you to fulfill that need with an employee experience platform. You will: Understand key design elements of EXP, including the visual design, EXP strategy, EXP transformation themes, information architecture, and navigation design. Gain insights into end-to-end EXP topics needed to successfully design, implement, and maintain next-generation digital workplace platforms. Study methods used in the EXP lifecycle, such as requirements and design, development, governance, and maintenance Execute the main steps involved in digital transformation of legacy intranet platforms to EXP. Discover emerging trends in digital workplace such as gamification, machine-led operations model and maintenance model, employee-centric design (including persona based design and employee journey mapping), cloud transformation, and design transformation. Comprehend proven methods for legacy Intranet modernization, collaboration, solution validation, migration, and more.

Summary: "To understand the dynamic patterns of behaviours and interactions between athletes that characterise successful performance in different sports is an important challenge for all sport practitioners. This book guides the reader in understanding how an ecological dynamics framework for use of artificial intelligence (AI) can be implemented to interpret sport performance and the design of practice contexts. By examining how AI methodologies are utilised in team games, such as football, as well as individual sports, such as golf and climbing, this book provides a better understanding of the kinematic and physiological indicators that might better capture athletic performance by looking at the current state-of-the-art AI approaches. Artificial Intelligence in Sport Performance Analysis provides an all-encompassing perspective in an innovative approach that signals practical applications for both academics and practitioners in the fields of coaching, sports analysis, sport science as well as related subjects such as engineering, computer and data science, and statistics"-- Provided by publisher.

Summary: This contributed volume discusses diverse topics to demystify the rapidly emerging and evolving blockchain technology, the emergence of integrated platforms and hosted third-party tools, and the development of decentralized applications for various business domains. It presents various applications that are helpful for research scholars and scientists who are working toward identifying and pinpointing the potential of as well as the hindrances to this technology.

Summary: A biological neural network passes information between receptors and effectors by using electrical impulses. Neural networks are a collection of neurons that allow the body to process various stimuli and respond to them. Signals passed between neurons are either inhibitory or excitatory, and an action potential is initiated when the excitatory signals reach threshold potential. This book is compiled in such a manner, that it will provide in-depth knowledge about the theory and practice of brain theory and neural networks. With state-of-the-art inputs by acclaimed experts of this field, this book targets students and professionals.

Summary: "This book will provide in depth information about handling and managing healthcare data by Machine Learning methods. It will express the long-standing challenges in healthcare informatics and provide rational orientations on how to deal with them"-- Provided by publisher.

Summary: "In this new edition, Brian Carroll explores writing and editing for digital media with information about voice, style, media formats, and content development, combining hands-on exercises with new sections on idea generation, multi-modal storytelling, podcasting, and information credibility. Carroll explains and demonstrates how to effectively write for digital spaces - whether crafting a story for a website, writing for an app, blogging, or using social media to expand the conversation. Each chapter features lessons and exercises through which students can build a solid understanding of the ways that digital communication provides opportunities for dynamic storytelling and multi-directional communication. Updated with contemporary examples and new pedagogy, the fourth edition broadens its scope, helping digital writers and editors in all fields, including public relations, marketing, and social media management. Writing and Editing for Digital Media is an ideal handbook for students from all backgrounds who are looking to develop their writing and editing skills for this ever-evolving industry"-- Provided by publisher.

Summary: "This book examines the practical applications and implementation of various machine learning techniques in various fields such as agriculture, medical, image processing, and networking"-- Provided by publisher.

Summary: "From terrorism and public health to museums, schools, and homes, FUTUREPROOF asks us to expand our purview of security, turning our attention to how security is lived, felt, and perceived through the violences of everyday life. Editors Asher Ghertner, Daniel Goldstein, and Hudson Fann propose the modality of "security aesthetics" as a way to understand how sensory and affective experiences help regulate bodies, spaces, and states in the service of "futureproofing" society against anticipated risks and perils. Taken broadly as the domain of sense perception, aesthetics provides a framework for considering the body's interactions with the material world and the processes by which these interactions translate into subjective judgments of taste. The contributions to this volume show us how security aesthetics work to fashion differently imagined futures, illuminating the interplay of sense perception and articulated reason in the operations of security apparatuses"-- Provided by publisher.

Summary: This book will be ideal for working professionals who want to learn Machine Learning from scratch. The first chapter will be an introductory chapter to make readers comfortable with the idea of Machine Learning and the required mathematical theories. There will be a balanced combination of underlying mathematical theories corresponding to any Machine Learning topic and its implementation using Python. Most of the implementations will be based on ‘scikit-learn,’ but other Python libraries like ‘Gensim’ or ‘PyTorch’ will also be used for some topics like text analytics or deep learning. The book will be divided into chapters based on primary Machine Learning topics like Classification, Regression, Clustering, Deep Learning, Text Mining, etc. The book will also explain different techniques of putting Machine Learning models into production-grade systems using Big Data or Non-Big Data flavors and standards for exporting models.

Summary: "The Routledge Handbook on Historic Urban Landscapes in Asia-Pacific sheds light onto the balancing act of urban heritage management, focusing specifically on the Asia-Pacific regions in which this challenge is imminent and in need of effective solutions. Urban heritage, while being threatened amidst myriad forces of global and ecological change, provides a vital social, cultural, and economic asset for regeneration and sustenance of liveability of inhabited urban areas worldwide. This six-part volume takes a critical look at the concept of Historic Urban Landscapes, the approach that UNESCO promotes to achieve holistic management of urban heritage, through the lens of issues, prospects, and experiences of urban regeneration of the selected geo-cultural context. It further discusses the difficult task that heritage managers encounter in conceptualizing, mapping, curating, and sustaining the plurality, poetics, and politics of urban heritage of the regions in question. The connective thesis that weaves the chapters in this volume together reinforces for readers that the management of urban heritage considers cities as dynamic entities, palimpsests of historical memories, collages of social diversity, territories of contested identities, and sites for sustainable liveability. Throughout this edited collection, chapters argue for recognizing the totality of the eco-cultural urban fabric, embracing change, building social cohesion, and initiating strategic socio-economic progress in the conservation of historic urban landscapes. Containing thirty-six contributions written by leading regional experts, and illustrated with over 200 black and white images and tables, this volume provides a much-needed resource on historic urban landscapes for students, scholars and researchers"-- Provided by publisher.

Summary: "Targeting Chronic Inflammatory Lung Diseases Using Advanced Drug Delivery Systems explores the development of novel therapeutics and diagnostics to improve pulmonary disease management, looking down to the nanoscale level for an efficient system of targeting and managing respiratory disease. The book examines numerous nanoparticle-based drug systems such as nanocrystals, dendrimers, polymeric micelles, protein-based, carbon nanotube, and liposomes that can offer advantages over traditional drug delivery systems. Starting with a brief introduction on different types of nanoparticles in respiratory disease conditions, the book then focuses on current trends in disease pathology that use different in vitro and in vivo models. The comprehensive resource is designed for those new to the field and to specialized scientists and researchers involved in pulmonary research and drug development"-- Provided by publisher.