Search

Summary: "The rise of data-driven technologies such as machine learning has had wide ranging impacts, not least in the realm of physical sciences, where it is transforming the traditional mind-set about how research can, and should, be performed. Deep learning is an exciting new development in the area of machine learning, containing many powerful techniques which can benefit researchers in the physical sciences"-- Provided by publisher.

Summary: "Fintech, the integration of technology into the delivery of financial services has revolutionised the world of Finance. This book introduces a new framework to study the concepts that underly Fintech while examining the driving forces and underlying logic behind Fintech-based innovation and predicting the future development of Fintech. The first three parts of the book cover the development and basics of Fintech and its relationship with inclusive finance, while later sections constitute a deep dive into several core issues surrounding Fintech. First, the volume introduces an economic explanation of blockchain and its application in various scenarios based on the token paradigm. Second, it studies digital currency and discusses its impacts on payment systems, financial inclusion, monetary policy, and financial stability. Third, the authors explore how to build a compliant and effective market for data while protecting data privacy, impinging on the future development of AI application, the digital economy and Fintech. Fourth, the book examines public policies related to Fintech, including regulatory technology, the regulation of financial activities of Big Tech companies, and how to promote financial inclusion. The title will appeal to scholars, students, and financial practitioners and regulators in a broad range of areas including economics, finance, technology, and public policy, especially Fintech, blockchain, and digital currency"-- Provided by publisher.

Summary: "This book guides monetary authority on CBDC policy choices, improve upon CBDC interoperability and minimize implementation challenges overrun. Covering topics such as the digital euro, ethical implications, and sustainable development goals, this book is an essential resource for banks, high frequency traders, insurance companies, and finance professionals as they position themselves to leverage on CBDC and Fintech applications"-- Provided by publisher.

Summary: "This book presents the advances in AI-assisted agile IoT for fintech, helping readers to reveal new applications, current issues, challenges and future directions in the field of AI-assisted agile IoT for fintech applications and ecosystems"-- Provided by publisher.

Summary: "Technology-driven innovation in financial services has been attracting global attention and interest. FinTech innovation is presenting a paradigm shift in financial services affecting a wide range of products, processes and services but also sparking a broader evolutionary transformation, growth opportunities and foundational systemic and structural changes in light of technological interdependencies among market players, infrastructures and ecosystem stakeholders. Transformation Dynamics in FinTech contributes to the intellectual curiosity around the symbiotic relationship of finance and technology by focusing on the multidimensional and multidisciplinary role of open innovation within FinTech innovation, observing and communicating the latest technological, managerial, governance, policy and regulatory perspectives, trends and developments. This book is an essential reading for anyone interested in the growing and evolving development of FinTech ecosystems based on new capabilities and structures that create new dominant architectural designs, which determine competitive dynamics, products, services, processes, business models, markets, value chains, within an open and transformed financial services industry landscape"-- Provided by publisher.

Summary: "The Finance module provides a significant underpinning to the Chartered Fintech Professional (CFtP) qualification. While the topics are familiar to professionals who are traditionally trained in Finance, these topics are required to appreciate the financial problems that technology can help solve. Without a clear appreciation of finance concepts and practice, any professional will have difficulties solving such problems the traditional way, let alone incorporating recent technological breakthroughs. In this module, we provide the basic concepts and knowledge that a fintech professional needs. This book covers the main concepts and theories in finance which include economics, financial statement analysis, financial management, and investment management. Finance for Fintech Professionals is a companion volume to the book on technology that covers fundamental concepts on data, artificial intelligence, and network. Together, these two books form the foundation for a good understanding of finance and fintech applications which will be covered in subsequent volumes"-- Provided by publisher.

Summary: "Academic, industry, and government experts provide a global survey of the financial services sector's transformation by AI, data science, and blockchain"-- Provided by publisher.

Summary: "This book provides a detailed and up-to-date coverage of machine learning. It is unique in that it unifies approaches based on deep learning with approaches based on probabilistic modeling and inference. It provides mathematical background (e.g. linear algebra, optimization), basic topics (e.g., linear and logistic regression, deep neural networks), as well as more advanced topics (e.g., Gaussian processes). It provides a perfect introduction for people who want to understand cutting edge work in top machine learning conferences such as NeurIPS, ICML and ICLR"-- Provided by publisher.

Summary: "This book highlights how FinTech supports the availability and equality of opportunities to access financial services for individuals and businesses to take advantage of affordable, and timely financial products and services by featuring conceptual, case studies, recent development, best practices, comparative assessment, business processes, as well as strategies and outputs in studies of FinTech from multiple domains of knowledge"-- Provided by publisher.

Summary: "Today, chief risk officers are finding themselves facing the daunting task of providing assurances to senior management and to board members that operational risks are being effectively managed and mitigated. Traditional market and credit risk approaches offer only partial effectiveness in the operational risk field, and this book explores the unique qualitative aspects of operational risk manage-ment. This book also provides insight into some of the (often noto-rious) operational risk events that have occurred in the past 10 years, with analysis of the JPMorgan Whale event, the Archegos Credit Suisse event, the UBS and Société Générale unauthorized trading scandals, the reputational risk events related to LIBOR and the recent Australian Banking scandals, the Knight Capital technology misstep and the management of operational risk at the Olympics. The Covid-19 Pandemic's impact on operational risk losses is also explored, along with the effectiveness of preparations for that event."-- Provided by publisher.

Summary: "The world most successful companies (Apple, Amazon, Alibaba) are data-driven platforms. They innovated their business models leveraging digital technology to start a journey from output to outcome economies: businesses don't necessarily trade in the products that deliver certain results (e.g. "selling 100,000 cars in 2022", in which the focus is about discrete sales figures or quantities), but in the results themselves which take the form of user experiences (e.g., "allowing 500,000 people to commute by car", in which the focus is on perceived benefits). Clearly, not all industrial products and services can be easily reinvented inside outcome economies, no matter how powerful they can be. This is particularly true for financial services given the more abstract and regulated nature of their products, as well the psychological characteristics of consumers when accessing them. The Platformisation of Financial Services corresponds to a shift in mindset intended to help banks strengthen and extend the reach of their Open Banking operations. Platform theory, born outside of financial services, will be transposed inside banking and insurance to make digital banking more effective. In this way, the financial services industry will master the necessary shift of focus from output (distribution channels of products) to outcomes (enabling clients to enjoy transparent and value-adding experiences, achieve their goals or fulfil their needs, directly or inside non-banking relationships). This book will guide the financial services industry globally towards new forms of digital transformation that benefit shareholders and stakeholders alike, allowing greater flexibility and convenience at lower digital prices"-- Provided by publisher.

Summary: "This book aims to provide insights on the latest developments in the area of FinTech. It is a collection of scientific articles covering primary areas of finance. The following key themes are covered in the book: Machine Learning and Artificial Intelligence, FinTech Regulation and Smart Contracts, Cryptocurrencies, and FinTech in Financial Services. FinTech is a rapidly developing industry that uses technological innovations to improve financial activities and make financial services more accessible and affordable to businesses and individuals. This book contributes to the body of knowledge in FinTech offering potential readers a chance to review and rethink the topics in question"-- Provided by publisher.

Summary: "This new volume, Empowering Artificial Intelligence Through Machine Learning: New Advances and Applications, discusses various new applications of machine learning, a subset of the field of artificial intelligence. Artificial intelligence is considered to be the next big-game changer in research and technology. The volume looks at how computing has enabled machines to learn, making machines and tools become smarter in many sectors, including science and engineering, healthcare, finance, education, gaming, security, and even agriculture, plus many more areas. Topics include techniques and methods in artificial intelligence for making machines intelligent, machine learning in healthcare, using machine learning for credit card fraud detection, using artificial intelligence in education using gaming and automatization with courses and outcomes mapping, and much more. The book will be valuable for professionals, faculty, and students in electronics and communication engineering, telecommunication engineering, network engineering, computer science and information technology"-- Provided by publisher.

Summary: "This book unlocks mysteries surrounding university presidents. Presidents have a large and growing influence on world and academic affairs. Yet until now little has been revealed about how they enact their roles, how they capture motivation and academic energy, and their views on higher education. This book sheds light on these critical topics, revealing insights from in-depth interviews with presidents of nineteen globally focused universities from thirteen countries. The book presents the interview transcripts and surrounds these with interpretative commentary. Underpinned by leadership theory and framed by analysis, the book provides glimpses into how top leaders think, how presidents manoeuvre through their careers, how leaders form and run productive teams, and opportunities for research and innovation. Common themes and challenges are identified. The presidents' reflect on university landscapes, strategic outlooks, the formation of executive teams, online teaching, funding, industry engagement, sustainability, grand challenges, and interdisciplinarity. This book is for professionals and scholars who are interested in education, universities, public policy, science and humanities, and global affairs"-- Provided by publisher.

Summary: Modern marketing professionals looking to adopt influencer marketing for their brands face equally modern challenges. Like finding the right talent, tracking and measuring results and quantifying how this new marketing opportunity aligns with the overall strategy. Influencer Marketing for Brands is the field guide for the digital age. After working with hundreds of brands from across the globe, author Aron Levin shares his insider knowledge gained from research, strategy, and hands-on experience from more than 10,000 successful collaborations with influencers on Instagram and YouTube. He provides you with valuable insights that help you eliminate guesswork and avoid common mistakes.

Summary: The idea behind this book is to simplify the journey of aspiring readers and researchers to understand Big Data, IoT and Machine Learning. It also includes various real-time/offline applications and case studies in the fields of engineering, computer science, information security and cloud computing using modern tools. This book consists of two sections: Section I contains the topics related to Applications of Machine Learning, and Section II addresses issues about Big Data, the Cloud and the Internet of Things. This brings all the related technologies into a single source so that undergraduate and postgraduate students, researchers, academicians and people in industry can easily understand them. Features Addresses the complete data science technologies workflow Explores basic and high-level concepts and services as a manual for those in the industry and at the same time can help beginners to understand both basic and advanced aspects of machine learning Covers data processing and security solutions in IoT and Big Data applications Offers adaptive, robust, scalable and reliable applications to develop solutions for day-to-day problems Presents security issues and data migration techniques of NoSQL databases

Summary: "For over 30 years, Sports in Society has been a resource in the cultural, interactional, and structural dimensions of sports. The Thirteenth Edition provides a thorough introduction to the sociology of sport by raising critical questions to explore the relationships between sports, culture, and society. This text takes an issues-oriented approach to the study of sports in society and encourages the discussion of current sports-related controversies" -- Provided by publisher.

Summary: Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining; it is the science of exploring large and complex bodies of data in order to discover useful patterns. Decision tree learning continues to evolve over time. Existing methods are constantly being improved and new methods introduced. This 2nd Edition is dedicated entirely to the field of decision trees in data mining; to cover all aspects of this important technique, as well as improved or new methods and techniques developed after the publication of our first edition. In this new edition, all chapters have been revised and new topics brought in. New topics include Cost-Sensitive Active Learning, Learning with Uncertain and Imbalanced Data, Using Decision Trees beyond Classification Tasks, Privacy Preserving Decision Tree Learning, Lessons Learned from Comparative Studies, and Learning Decision Trees for Big Data.

Summary: This is the story of the world's biggest drug deal. In the nineteenth century, the British East India Company operated a triangle of trade that straddled the globe, running from India to China to Britain. From India to China, they took opium. From China to Britain, they took tea. From Britain to India, they brought empire. It was a machine that consumed cheap Indian land and labour and spat out money. The British had two problems, though. They were importing enormous amounts of tea from China, but the Celestial Empire looked down on British goods and only wanted silver in return. Simultaneously, the expanding colony in India was proving far too expensive to maintain. The British solved both problems with opium, which became the source of income on which they built their empire. For more than a century, the British knew that the drug was dangerous and continued to trade in it anyway. Its legacy in India, whether the poverty of Bihar or the wealth of Bombay, is still not acknowledged. Like many colonial institutions in India, the story of opium is one of immense pain for many and huge privileges for a few.

Summary: The design patterns in this book capture best practices and solutions to recurring problems in machine learning. Authors Valliappa Lakshmanan, Sara Robinson, and Michael Munn catalog the first tried-and-proven methods to help engineers tackle problems that frequently crop up during the ML process. These design patterns codify the experience of hundreds of experts into advice you can easily follow. The authors, three Google Cloud engineers, describe 30 patterns for data and problem representation, operationalization, repeatability, reproducibility, flexibility, explainability, and fairness. Each pattern includes a description of the problem, a variety of potential solutions, and recommendations for choosing the most appropriate remedy for your situation. You'll learn how to: Identify and mitigate common challenges when training, evaluating, and deploying ML models Represent data for different ML model types, including embeddings, feature crosses, and more Choose the right model type for specific problems Build a robust training loop that uses checkpoints, distribution strategy, and hyperparameter tuning Deploy scalable ML systems that you can retrain and update to reflect new data Interpret model predictions for stakeholders and ensure that models are treating users fairly.

Summary: In Ancient India: Culture of Contradictions, one of India’s most distinguished historians takes readers on an exhilarating voyage of discovery into the distant past. Upinder Singh urges us to abandon simplistic stereotypes and instead think of ancient India in terms of the coexistence of five powerful contradictions—between social inequality and promises of universal salvation, the valorization of desire and detachment, goddess worship and misogyny, violence and non-violence, and religious debate and conflict. She does so using a vast array of sources including religious and philosophical texts, epics, poetry, plays, technical treatises, satire, biographies, and inscriptions, as well as the material and aesthetic evidence of archaeology and art from sites across the subcontinent. Singh’s scholarly but highly accessible style, clear explanation, and balanced interpretations offer an understanding of the historian’s craft and unravel the many threads of what we think of as ancient Indian culture. This is not a dead or forgotten past but one invoked in different contexts even today. Further, in spite of enormous historical changes over the centuries, the contradictions discussed here still remain. Beautifully written, deeply true, and profusely illustrated with masterpieces of ancient, medieval, and modern art, the book brings to life the rich complexity of ancient India and its connections with the present in a vivid and compelling manner.

Summary: "The third edition of the National Standards for Sport Coaches outlines the standards for quality sport coaching based on the latest research and practical work in coaching science and the varied fields of exercise science. The intent of the standards is to provide the core responsibilities coaches should possess along with supporting competencies (i.e., standards) that provide insight into the knowledge and skills needed to support a quality amateur sport experience for athletes. Informing coaches, sport administrators, and coach educators and developers about core coaching responsibilities and competencies can improve the preparation, training, and evaluation of sport coaching. Further, informing the public about the core responsibilities of sport coaches can drive expectations for quality coaching. Ultimately the National Standards for Sport Coaches should assist in improving the sport experiences for all athletes and will elevate the profession of coaching"-- Provided by publisher.

Summary: "An updated introduction for generalists to this powerful technology, its applications and possible future directions"-- Provided by publisher.

Summary: The Law of Artificial Intelligence is an essential practitioner's reference text examining how key areas of current civil and criminal law will apply to AI and examining emerging laws specific to the use of AI. It explains the fundamentals of AI technology, its development and terminology. The book also covers regulation, ethics and the use of AI within legal services and the administration of justice.

Summary: New technologies are shaking the foundations of traditional finance. Leading economist Eswar S. Prasad foresees the end of cash, as central banks develop their own digital currencies to compete with Bitcoin and Facebook's Diem. Money and finance are on the verge of dramatic transformations that will reshape their roles in the lives of ordinary people.

Summary: "This book breaks new ground by examining trans-oceanic connectivity through the perspective of coastal shrines and maritime cultural landscapes across the Bay of Bengal and the South China Sea. It covers a period of expanding networks and cross-cultural encounters from the 3rd century BCE to the 13th century CE. The book examines the distinctiveness of these shrines, and highlights their interconnections, and their role in social integration in South and Southeast Asia. By drawing on data from shipwreck sites, the author elaborates on the material and religious intersections and transmissions between cultures across the seas. Many of these coastal shrines survived into the colonial period when they came to be admired for their aesthetic value as 'monuments'. As nation states of the region became independent, these shrines were often inscribed on UNESCO's World Heritage List on account of their Outstanding Universal Values. The book argues that in the 21st century there is a need to promote the cultural connectivity of the past as transnational heritage on UNESCO's global platform to preserve and protect our shared heritage. The volume will be essential reading for academics and researchers of archaeology, anthropology, museum and heritage studies, history of South and Southeast Asia, religious studies, cultural studies, and Asian studies"-- Provided by publisher.

Summary: "The bestselling author of Give and Take and Originals examines the critical art of rethinking: learning to question your beliefs and to know what you don't know, which can position you for success at work and happiness at home. The difficulty of rethinking our assumptions is surprisingly common--maybe even fundamentally human. Our ways of thinking become habits that we don't bother to question, and mental laziness leads us to prefer the ease of old routines to the difficulty of new ones. We fail to update the beliefs we formed in the past for the challenges we face in the present. But in a rapidly changing world, we need to spend as much time rethinking as we do thinking. Think Again is a book about the benefit of doubt, and about how we can get better at embracing the unknown and the joy of being wrong. Evidence has shown that creative geniuses are not attached to one identity but constantly willing to rethink their stances, that leaders who admit they don't know something and seek critical feedback lead more productive and innovative teams, and that our greatest presidents have been open to updating their views. The new science of intellectual humility shows that as a mindset and a skillset, rethinking can be taught, and Grant explains how to develop the necessary qualities. The first section of the book explores why we struggle to think again and how we can improve individually, and argues that such engines of success as "grit" can actually be counterproductive; the second section discusses how we can help others think again through the skill of "argument literacy"; and the third looks at how institutions like schools, business, and governments fall short in building cultures that encourage rethinking. In the end, it's intellectual humility that makes it possible for us to stop denying our weaknesses so that we can start improving ourselves"-- Provided by publisher.

Summary: If you use data to make critical business decisions, this book is for you. Whether you're a data analyst, research scientist, data engineer, ML engineer, data scientist, application developer, or systems developer, this guide helps you broaden your understanding of the modern data science stack, create your own machine learning pipelines, and deploy them to applications at production scale. The AWS data science stack unifies data science, data engineering, and application development to help you level up your skills beyond your current role. Authors Antje Barth and Chris Fregly show you how to build your own ML pipelines from existing APIs, submit them to the cloud, and integrate results into your application in minutes instead of days. Innovate quickly and save money with AWS's on-demand, serverless, and cloud-managed services Implement open source technologies such as Kubeflow, Kubernetes, TensorFlow, and Apache Spark on AWS Build and deploy an end-to-end, continuous ML pipeline with the AWS data science stack Perform advanced analytics on at-rest and streaming data with AWS and Spark Integrate streaming data into your ML pipeline for continuous delivery of ML models using AWS and Apache Kafka.

Summary: "From the ninth through the thirteenth century, the Chola dynasty of southern India produced thousands of statues of Hindu deities, whose physical perfection was meant to reflect spiritual beauty and divine transcendence. During festivals, these bronze sculptures--including Shiva, referred to in a saintly vision as "the thief who stole my heart"--were adorned with jewels and flowers and paraded through towns as active participants in Chola worship. In this richly illustrated book, leading art historian Vidya Dehejia introduces the bronzes within the full context of Chola history, culture, and religion. In doing so, she brings the bronzes and Chola society to life before our very eyes. Dehejia presents the bronzes as material objects that interacted in meaningful ways with the people and practices of their era. Describing the role of the statues in everyday activities, she reveals not only the importance of the bronzes for the empire, but also little-known facets of Chola life. She considers the source of the copper and jewels used for the deities, proposing that the need for such resources may have influenced the Chola empire's political engagement with Sri Lanka. She also investigates the role of women patrons in bronze commissions and discusses the vast public records, many appearing here in translation for the first time, inscribed on temple walls. From the Cholas' religious customs to their agriculture, politics, and even food, The Thief Who Stole My Heart offers an expansive and complete immersion in a community still accessible to us through its exquisite sacred art"--Publisher's description.

Summary: Introduction to cognitive computing and its various applications Recent trends towards cognitive science: from robots to humanized robots Cognitive compyuting in human activity recognition by healthcare robots Deep learning-based cognitive state prediction analysis using brain wave signals EEG-based cognitive performance evaluations for mental arithmetic tasks Trust or no trust in chat-bots: a millennial dilemma Cognitive computing in autonomous vehicles Optimized navigation using deep learning techniques for automatic guided vehicles Vehicular middleware and heuristic approaches for ITS systems of smart cities Error traceability and error prediction using machine learning techniques to improve the quality of vehicle modeling in computer-aided engineering All about human-robot interaction Teleportation of human body kinematicss for a tangible humanoid robot control Recognition of trivial humanoid group events using clustering and higher order local auto-correlation techniques Understanding the hand gesture command to visual attention model for mobile robot navigation: service robots in the domestic environment Mobile robots for air quality monitoring of landfill sites using the Internet of Things Artificial intelligence and Internet of Things readiness: the inclination for hotels to support a sustainable envoronment Design and fabrication of a new multi-function smart trash bin based on the Internet of Things

Summary: Recent advances in computational algorithms, along with the advent of whole slide imaging as a platform for embedding artificial intelligence (AI), are transforming pattern recognition and image interpretation for diagnosis and prognosis. Yet most pathologists have just a passing knowledge of data mining, machine learning, and AI, and little exposure to the vast potential of these powerful new tools for medicine in general and pathology in particular. In Artificial Intelligence and Deep Learning in Pathology, with a team of experts, Dr. Stanley Cohen covers the nuts and bolts of all aspects of machine learning, up to and including AI, bringing familiarity and understanding to pathologists at all levels of experience.

Summary: "This book focuses on the implementation of various elementary and advanced approaches in AI that can be used in various domains to solve real-time decision-making problems"-- Provided by publisher.

Summary: "Now in a fully revised and updated third edition, this essential textbook introduces the fundamentals of sport finance and sound financial management in the sport industry. It is still the only textbook to explain every aspect of finance from the perspective of the sport management practitioner, explaining key concepts and showing how to apply those concepts in practice in the context of sport. The text begins by covering finance basics and the tools and techniques of financial quantification, using industry examples to apply the principles of financial management to sport. It then goes beyond the basics to show how financial management works specifically in the sport industry. Discussions include interpreting financial statements, debt and equity financing, capital budgeting, facility financing, economic impact, risk and return, time value of money, and more. The final part of the book examines financial management in four sectors of the industry: public sector sport, collegiate athletics, professional sport, and international sport. It provides an in-depth analysis of the mechanics of financial management within each of these sport sectors. Useful features, such as sidebars, concept checks, practice problems, case analysis and case questions will help students engage more deeply with financial techniques and encourage problem-solving skills. This new edition includes a completely new chapter on international sport, reflecting the globalized nature of the modern sport industry, as well expanded coverage of current issues such as digital media finance, recent legal cases affecting collegiate sport, and the central importance of collective bargaining. Financial Management in the Sport Industry is an essential textbook for any undergraduate or postgraduate course in sport finance, and an invaluable supplement to any course in sport business or sport management. It is also an important reference for all sport management practitioners looking to improve their understanding of finance"-- Provided by publisher.

Summary: "Writing about neurophysiology more than a century ago, what were US authors doing? Literary Neurophysiology: Memory, Race, Sex, and Representation in U.S. Writing, 1860-1914 examines their use of literature to experiment with the new materialist psychology, which bore upon their efforts to represent reality and was forging new understandings of race and sexuality. Sometimes they emulated scientific epistemology, allowing their art and conceptions of creativity to be reshaped by it. Sometimes they imaginatively investigated neurophysiological theories, challenging and rewriting scientific explanations of human identity and behavior. By enfolding physiological experimentation into literary inquiries that could account for psychological and social complexities beyond the reach of the laboratory, they used literature as a cognitive medium. Mark Twain, W. D. Howells, and Gertrude Stein come together as they probe the effects on mimesis and creativity of reflex-based automatisms and unconscious meaning-making. Oliver Wendell Holmes explores conceptions of racial nerve force elaborated in population statistics and biopolitics, while W. E. B. Du Bois and Pauline Hopkins contest notions of racial energy used to predict the extinction of African Americans. Holmes explores new definitions of "sexual inversion" as, in divergent ways, Whitman and John Addington Symonds evaluate relations among nerve force, human fecundity, and the supposed grave of nonreproductive sex. Carefully tracing entanglements and conflicts between literary culture and mental science of this period, Knoper reveals unexpected connections among these authors and fresh insights into the science they confronted. Considering their writing as cognitive practice, he provides a new understanding of literary realism"-- Provided by publisher.

Summary: This is the story of Mazagon, once an island inhabited by Kolis, Bhandaris and Agris. It remained so under the Portuguese, fetching them the highest revenue among all the islands of Bombay. Falling into British hands through a disputed dowry deed, Mazagon retained its identity as an island for many more years with its own fort, dock, churches and even a gunpowder factory. Then, like the other islands of the archipelago, Mazagon too got merged into a single entity called Bombay. But that did not diminish the importance of this place, which soon became a sought-after suburb of British Bombay, patronised by the rich and famous. They connected up Mazagon to the rest of their Urbs Prima in Indis with tramways and railways, and extensively reclaimed the waterfront to expand the dock and harbour to berth and build sail-ships and steamers that conveyed colonial commerce.

Summary: "This book explores the use of data analytics algorithms and machine learning techniques for disease prediction"-- Provided by publisher.

Summary: "Every day we make choices--about food and other purchases, financial investments, our children's health and education, even the causes we champion or the planet itself. Unfortunately, we often choose poorly. Using dozens of eye-opening examples and drawing on decades of behavioral science research, Nudge shows how sensible "choice architecture" can help us to overcome the biases that lead to bad decisions and nudge us toward the best decisions for ourselves, our families, and our society"-- Provided by publisher.

Summary: "This book examines artistic practices that use machine learning and computational technologies through historical perspectives surrounding adaptive systems from the 1950s onwards"-- Provided by publisher.

Summary: "Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the changing world of data utilization, especially in clinical healthcare. Various techniques, methodologies, and algorithms are presented in this book to organize data in a structured manner that will assist physicians in the care of patients and help biomedical engineers and computer scientists understand the impact of these techniques on healthcare analytics. The book is divided into two parts: Part 1 covers big data aspects such as healthcare decision support systems and analytics-related topics. Part 2 focuses on the current frameworks and applications of deep learning and machine learning, and provides an outlook on future directions of research and development. The entire book takes a case study approach, providing a wealth of real-world case studies in the application chapters to act as a foundational reference for biomedical engineers, computer scientists, healthcare researchers, and clinicians"-- Provided by publisher.

Summary: "Thoroughly revised and updated, the fourth edition of Writing for Journalists focuses on the craft of journalistic writing, offering invaluable insight on how to hook readers and keep them to the end of your article. The book offers a systematic approach to news and feature writing that starts with the basics and builds to more complex and longer pieces. The authors give the reader the tools they need to deliver engaging and authoritative writing that works across print and digital. Drawing on professional insight from writers across the industry, the book guides readers through the essential elements needed to write powerful and effective news stories, from hard news pieces to features on business, science, travel, and entertainment reviews. New to this edition are hands-on writing exercises accompanying each chapter to help reinforce key points; chapters on how to build a professional profile, pitch stories and get commissioned; and a section on online writing, SEO, analytics and writing for social media. This is an essential guide for all journalism students and early-career journalists. It also has much to offer established journalists looking to develop their writing and lead editorial teams"-- Provided by publisher.

Summary: "This classroom-tested book fills a major gap in graduate- and professional-level data science and social science education. It can be used to train a new generation of social data scientists to tackle real-world problems and improve the skills and competencies of applied social scientists and public policy practitioners. It empowers you to use the massive and rapidly growing amounts of available data to interpret economic and social activities in a scientific and rigorous manner"-- Provided by publisher.

Summary: "Agriculture 5.0: Artificial Intelligence, IoT & Machine Learning provides an interdisciplinary, integrative overview of latest development in the domain of smart farming. It shows how the traditional farming practices are being enhanced and modified by automation and introduction of modern scalable technological solutions that cut down on risks, enhance sustainability, and deliver predictive decisions to the grower, in order to make agriculture more productive. An elaborative approach has been used to highlight the applicability and adoption of key technologies and techniques such WSN, IoT, AI and ML in agronomic activities ranging from collection of information, analysing and drawing meaningful insights from the information which is more accurate, timely and reliable.It synthesizes interdisciplinary theory, concepts, definitions, models and findings involved in complex global sustainability problem-solving, making it an essential guide and reference. It includes real-world examples and applications making the book accessible to a broader interdisciplinary readership. This book clarifies hoe the birth of smart and intelligent agriculture is being nurtured and driven by the deployment of tiny sensors or AI/ML enabled UAV's or low powered Internet of Things setups for the sensing, monitoring, collection, processing and storing of the information over the cloud platforms. This book is ideal for researchers, academics, post-graduate students and practitioners of agricultural universities, who want to embrace new agricultural technologies for Determination of site-specific crop requirements, future farming strategies related to controlling of chemical sprays, yield, price assessments with the help of AI/ML driven intelligent decision support systems and use of agri-robots for sowing and harvesting. The book will be covering and exploring the applications and some case studies of each technology, that have heavily made impact as grand successes. The main aim of the book is to give the readers immense insights into the impact and scope of WSN, IoT, AI and ML in the growth of intelligent digital farming and Agriculture revolution 5.0.The book also focuses on feasibility of precision farming and the problems faced during adoption of precision farming techniques, its potential in India and various policy measures taken all over the world. The reader can find a description of different decision support tools like crop simulation models, their types, and application in PA. Features: Detailed description of the latest tools and technologies available for the Agriculture 5.0. Elaborative information for different type of hardware, platforms and machine learning techniques for use in smart farming. Elucidates various types of predictive modeling techniques available for intelligent and accurate agricultural decision making from real time collected information for site specific precision farming. Information about different type of regulations and policies made by all over the world for the motivation farmers and innovators to invest and adopt the AI and ML enabled tools and farming systems for sustainable production"-- Provided by publisher.