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Summary: Have you lost all hope? Does the world feel bleak and unforgiving? The pandemic crisis has seen many of us lose family, friends, colleagues. How can you recover from this devastating loss? You are surrounded by anger and violence everywhere. Bad news hits you – a failing economy, climate change – every day. Do you want to run away? Are you anxious about money, your family, and your future? In this book, the author helps you to unravel your emotions and find a way to move from darkness into light. Using stories from our epics and concepts from Hindu, Buddhist, and Jain thought, he shows you a new way to look at your life and gives you the tools to find hope again. Simple yet profound, moving and stimulating, Hope will change the way you view the world and help you find your path again.

Summary: "A pioneer of virtual reality technology on why AR is the 'next big thing in tech'"-- Provided by publisher.

Summary: "This book addresses the difficulties and challenges that various fields have faced in implementing artificial intelligence for smart technology"-- Provided by publisher.

Summary: "This book discusses the relationship between media, conflict and democratisation in Africa from the perspective of media ethics. Despite the commonly held view that conflict is a destructive political force that can destabilize democracies, the argument in this book is that while many conflicts can become violent and destructive, they can also be managed in a way that can render them productive and communicative to democracy. Drawing on theoretical insights from the fields of journalism studies, political studies and cultural studies, the book discusses the ethics of conflict coverage and proposes a normative model for covering conflict and democratisation. The book argues for an 'ethics of listening' which would enable the media to de-escalate violent conflict and contribute to the deepening of an agonistic democratic culture in contexts of high inequality, ethnic and racial polarisation and uneven access to media. This argument is illustrated by examples drawn from recent events in African democracies such as student protests, community activism, struggles for resources and social media conflicts. The book also scrutinizes the media's ethical roles and responsibilities in African societies by considering questions regarding journalistic professionalism, ethical codes and regulation in the context of rising misinformation. Provides a critical African perspective on global debates about media, politics, and democracy and the media's ethical commitments in contexts of conflict"-- Provided by publisher.

Summary: Each chapter in this popular book includes a section on creating a personal brand, which is useful to current or future professionals at any stage of career development. This edition emphasizes how to use social media techniques, detailed in the book, to develop and maintain a strong personal brand. Helpful discussions also address a full range of online and offline elements you can use to create a viable personal branding strategy. You learn how to use graphical concepts to structure and strategize within what is otherwise a chaotic social media milieu. This edition summarizes many of today’s best practices for marketing activities on social media platforms to assist you in functioning most effectively and dealing with the rapid change that is a hallmark of social media.

Summary: "COMSOL 5 and MATLAB are valuable software modeling tools for engineers and scientists. This book explores a wide range of models in coordinate systems from 0D to 3D and introduces the numerical analysis techniques employed in COMSOL 5 (including Application Builder) and MATLAB software. The text presents electromagnetic, electronic, optical, thermal physics, and biomedical models as examples. It presents the fundamental concepts in the models and the step-by-step instructions needed to build each model. The companion DVD includes all the built models for each step-by-step example presented in the text and the related animations, as specified. The book is designed to introduce modeling to an experienced engineer or can also be used for upper level undergraduate or graduate courses"-- Provided by publisher.

Summary: "In the short story collection Literary Devices for Coping, the technological and fantastical idiosyncratically shape key moments in close relationships. As characters in this collection grapple with issues of memory, jealousy and sanity, their efforts are assisted and complicated by gadgetry and artifice-often in ways that raise questions about what it means to be human"-- 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: "Beat Reporting and Editing: Journalism in the Digital Age offers an extensive and pioneering study of reporting for all the news beats, and news writing and editing. Besides having exclusive chapters on rural reporting, storytelling, photojournalism and cartooning, social media reporting, misinformation and fake news, and solution-based journalism, this coedited forty-eight-chapter textbook is an exhaustive resource filled with insights on traditional beats like defence, politics, court, crime, sports and entertainment. It covers all the emerging forms of journalism such as artificial intelligence (AI), blockchain and bots, podcast, mobile journalism (MOJO), drone journalism (DOJO) and data journalism in India. The book is structured to guide the students and teachers on the techniques of reporting on specific beats in the digital environment, role of AI and digital technologies in newsgathering and reportage as well as issues of identity, data, research and analysis in new-age journalism. Drawing on an enormous range of examples, case studies and first-hand experiences of eminent journalists and media educators, it encourages students to critically engage with all forms of journalistic writing in the digital era. Key Features First-of-its-kind textbook to include extensive coverage of reporting, with special focus on beat reporting Not only limited to print media but also covers broadcast journalism as well as digital media Contains chapters by highly experienced journalists who have worked in their specific beats for decades, and academicians teaching the subject in the classroom One of the most future-ready textbooks on journalism featuring a whole section on innovations and emerging technologies in journalism"-- Provided by publisher.

Summary: "The publication of this book has been made possible by generous support received from BNP Paribas."

Summary: "Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context. After discussing the trajectory from data to insight to decision, the book describes four approaches to machine learning: information-based learning, similarity-based learning, probability-based learning, and error-based learning. Each of these approaches is introduced by a nontechnical explanation of the underlying concept, followed by mathematical models and algorithms illustrated by detailed worked examples. Finally, the book considers techniques for evaluating prediction models and offers two case studies that describe specific data analytics projects through each phase of development, from formulating the business problem to implementation of the analytics solution. The book, informed by the authors' many years of teaching machine learning, and working on predictive data analytics projects, is suitable for use by undergraduates in computer science, engineering, mathematics, or statistics; by graduate students in disciplines with applications for predictive data analytics; and as a reference for professionals."--

Summary: This book introduces machine learning methods in finance. It presents a unified treatment of machine learning and various statistical and computational disciplines in quantitative finance, such as financial econometrics and discrete time stochastic control, with an emphasis on how theory and hypothesis tests inform the choice of algorithm for financial data modeling and decision making. With the trend towards increasing computational resources and larger datasets, machine learning has grown into an important skillset for the finance industry. This book is written for advanced graduate students and academics in financial econometrics, mathematical finance and applied statistics, in addition to quants and data scientists in the field of quantitative finance. Machine Learning in Finance: From Theory to Practice is divided into three parts, each part covering theory and applications. The first presents supervised learning for cross-sectional data from both a Bayesian and frequentist perspective. The more advanced material places a firm emphasis on neural networks, including deep learning, as well as Gaussian processes, with examples in investment management and derivative modeling. The second part presents supervised learning for time series data, arguably the most common data type used in finance with examples in trading, stochastic volatility and fixed income modeling. Finally, the third part presents reinforcement learning and its applications in trading, investment and wealth management. Python code examples are provided to support the readers' understanding of the methodologies and applications. The book also includes more than 80 mathematical and programming exercises, with worked solutions available to instructors. As a bridge to research in this emergent field, the final chapter presents the frontiers of machine learning in finance from a researcher's perspective, highlighting how many well-known concepts in statistical physics are likely to emerge as important methodologies for machine learning in finance.

Summary: Machine learning and data science will significantly transform the finance industry in the next few years. With this practical guide, professionals at hedge funds, investment and retail banks, and fintech firms will learn how to build ML algorithms crucial to this industry. You'll examine ML concepts and over 20 case studies in supervised, unsupervised, and reinforcement learning, along with natural language processing (NLP).

Summary: "At a time when print media reigned supreme and newspapers were legion, Dorothy Thompson, John Gunther, Vincent Sheean, and Rayna Raphaelson Prohme impulsively left their homes to reinvent themselves as international journalists and adopt the power of the press as their own. In Fighting Words, acclaimed historian Nancy Cott follows these four largely unknown young Americans to reveal how foreign journalism shaped America's sense of its place in the world. Dorothy, John, Vincent, and Rayna serve as a counter to the devil-may-care jazz babies of the 1920s who scandalized their elders to no purpose beyond frivolity. Instead, the four directly confronted major political challenges that still reverberate today- democracy versus authoritarianism, global responsibility versus isolationism, press objectivity versus propaganda. They revealed the political instability that circled most of the globe as a legacy of the redrawing of world order after World War I. By the early 1930s, unlike Americans at home fixated on the Depression and New Deal, they were in the antifascist vanguard, well aware of Hitler's impending menace. At the same time, they were actively rethinking relationships between men and women. All four navigated sexual affairs and frictions, marriages and divorces. Their experiences traced the development not only of international journalism but also the making of the modern self at a time when the value of sexual freedom grated against traditional morality. A group biography of four extraordinary Americans abroad, and a paean to a golden age of journalism, Fighting Words shows how these young cosmopolitans reshaped America's sense of its own place in the world"-- Provided by publisher.

Summary: "Written by prominent thought leaders in the global fintech investment space, The AI Book aggregates diverse expertise into a single, informative volume. Key industry developments are explained in detail, and critical insights from cutting-edge practitioners offer first-hand information and lessons learned. Coverage includes: Understanding the AI Portfolio: from machine learning to chatbots, from neurotrophic computing to natural language processing (NLP); a deep dive into the Machine Intelligence Landscape; essentials on core technologies, rethinking enterprise, rethinking industries, rethinking humans; quantum computing and next-generation AI. AI experimentation and embedded usage, and the change in business model, value proposition, organisation, customer and co-worker experiences in today's Financial Services Industry. The future state of financial services and markets -- what's next for the real-world implementation of AITech? The innovating customer -- users are not waiting for the financial services industry to work out how #AI can re-shape their sector, profitability and competitiveness. Boardroom issues created and magnified by AI trends, including conduct, regulation & oversight in an algo-driven world, cybersecurity, diversity & inclusion, data privacy, the 'unbundled corporation' & the future of work, social responsibility, sustainability, and the new leadership imperatives"-- Provided by publisher.

Summary: "The first book to analyze the consequences of the political economy of artificial intelligence for global sustainability"-- Provided by publisher.

Summary: Discovery is central to academic activities at all levels and is a major focus for libraries and museums. Of all the parts of modern library provision, discovery services are the most clearly affected by developments in IT, from databases to search engines to linked data to machine learning. It is crucial to the relationship between libraries and their communities. This book will help its readers learn how to adapt in a fast changing area to continue to provide a high level of service. Resource Discovery for the Twenty-First Century Library contains a range of contributions analysing the ways in which libraries are tackling the challenges facing them in discovery in the (post)-Google era. Chapters are written by experts, both global and local - describing specific areas of discovery and local implementations and ideas. The book will help with enhancing discovery both inbound - making locally held resources globally discoverable, and outbound - making global resources locally discoverable, in ways which are relevant to your user community. Content covered includes: a survey of what resource discovery is today ; case studies from around the world of interesting approaches to discovery ; analysis of how users approach discovery ; how to understand and make the best use of Internet search engines ; using limited resources to help users and collections ; linked open data and discovery; and the future of discovery. This book will be useful for subject librarians and others who give direct support to library users, digital library technicians, managers, staff with responsibility for managing electronic resources, metadata and discovery specialists, trainers and user education specialists. It will also be of use to curators and others who give direct support to researchers, managers of digitisation and cataloguing products, IT staff, trainers and user education specialists.

Summary: "The early twenty-first century has seen the emergence of a new style of television drama in Britain that adopts the professional practices and production values of high-end American television while remaining emphatically 'British' in content and outlook. This book analyses eight of these dramas - Spooks, Foyle's War, Hustle, Life on Mars, Ashes to Ashes, Downton Abbey, Sherlock and Broadchurch - which have all proved popular with audiences and in their different ways represent the thematic and formal paradigms of post-millennial drama. James Chapman locates new British drama in its institutional and economic contexts, considers their critical and popular reception, and analyses their social politics in relation to their representations of class, gender and nationhood. He demonstrates how contemporary drama has mobilised both new and residual elements in re-configuring genres such as the spy series, cop show and costume drama for the cultural tastes of modern audiences. And it concludes that television drama has played an integral role in both the economic and the cultural export of 'Britishness'"-- Provided by publisher.

Summary: Use the Raspberry Pi and modern computing techniques to build industrial Internet of Things systems. Principles and theoretical aspects of IoT technologies combine with hands-on projects leading to detailed descriptions of several industrial IoT applications. This book presents real-life IoT applications based on the Raspberry Pi, beyond the relatively simplistic demos built for educational purposes or hobbyists. You'll make the transition from tinkering with a couple of sensors and simple devices to building fully developed products for commercial use and industrial systems. You'll also work with sensors and actuators, web technologies used for communications in IoT networks, and the large-scale deployment of IoT software solutions. And see how to design these systems as well as maintain them long term. See the Raspberry Pi in a new light that highlights the true industrial potential of the device. Move beyond connecting an LED to the Raspberry Pi and making it blink to actually managing a network of IoT devices.

Summary: "Throne of Blood (1957), Akira Kurosawa's reworking of Macbeth, is widely considered the greatest film adaptation of Shakespeare ever made. In a detailed account of the film, Robert N. Watson explores how Kurosawa draws key philosophical and psychological arguments from Shakespeare, translates them into striking visual metaphors, and inflects them through the history of post-World War II Japan. Watson places particular emphasis on the contexts that underlie the film's central tension between individual aspiration and the stability of broader social and ecological collectives - and therefore between free will and determinism. In his foreword to this new edition, Robert Watson considers the central characters' Washizu and his wife Asaji's blunder in viewing life as a ruthless competition in which only the most brutal can thrive in the context of an era of neoliberal economics, resurgent 'strongman' political leaders, and myopic views of the environmenal crisis, with nothing valued that cannot be monetized"-- Provided by publisher.

Summary: Tania Lewis offers the first critical account of the impact of digital information, media, and communication technologies on the topic of food. Lewis critically analyzes how our relationship to food consumption, production, and politics is being re-mediated through digitally connected electronic devices, practices and content. By drawing together the world of food and the digital, the book speaks to a number of pressing contemporary themes including the tensions around digital engagement in increasingly commercialized spaces; the changing nature of politics in a social media context; the growing naturalization of digital devices and related practices of data monitoring; and the role and impact of digitization on social relations. At the forefront of critical new research, and written with a student readership in mind, this text is essential for scholars interested in media studies, cultural studies, food studies, and cultural geography.

Summary: Colaba, the southernmost tip of Mumbai—a bustling locality with the Gateway of India, the famous Taj Mahal Hotel, and Colaba Causeway, a shopper’s paradise—is the city’s most iconic neighbourhood. But barely 200 years ago, it was a rocky, jackal-infested island, separated from the rest of the great metropolis by a temperamental creek. In this compelling biography, Shabnam Minwalla, journalist, author and long-time resident of the area, tells the tale of the unexpected forces that reshaped land and sea; and allowed this remote corner of Bombay-Mumbai to evolve into one of its liveliest, quirkiest neighbourhoods. Trying to figure out the exact area limits, she unravels accounts of colonial rivalries and dowry negotiations, and of shrewd industrialists who transformed the doomed island into the centre of trade during the cotton boom of the 1860s. She navigates the sometimes charming, sometimes seedy streets to track the area’s evolution from a retreat for British soldiers and sailors to a coveted residential area for the English and Indians alike. She digs into her childhood memories to introduce us to the eccentric Parsis of Cusrow Baug, the warm yet persistent shopkeepers and hawkers of the Causeway, the industrious Sindhis who pioneered co-operative housing societies, the colourful musicians, theatre artists and writers who frequented her corner of Colaba, and the Arabs who come there every year to witness the city’s monsoons. And in a moving section, she records how the neighbourhood rose like a phoenix from the ashes after the 26/11 terrorist attack. Combining a remarkable flair for storytelling with sound journalistic groundwork, and drawing upon three generations of family memory, Shabnam paints an intimate and dynamic portrait of a great and fabled neighbourhood.

Summary: This book presents the complex topic of using computational intelligence for pattern recognition in a straightforward and applicable way, using Matlab to illustrate topics and concepts. The author covers computational intelligence tools like particle swarm optimization, bacterial foraging, simulated annealing, genetic algorithm, and artificial neural networks. The Matlab based illustrations along with the code are given for every topic. Readers get a quick basic understanding of various pattern recognition techniques using only the required depth in math. The Matlab program and algorithm are given along with the running text, providing clarity and usefulness of the various techniques. Presents pattern recognition and the computational intelligence using Matlab; Includes mixtures of theory, math, and algorithms, letting readers understand the concepts quickly; Outlines an array of classifiers, various regression models, statistical tests and the techniques for pattern recognition using computational intelligence.

Summary: "First released in 1987, Near Dark is a vampire film set in the contemporary American Midwest that tells the story of Caleb, a half-vampire trying to decide whether to embrace his vampire nature or return to his human family. The film, an early work of the now-established director Kathryn Bigelow, skilfully mixes genre conventions, combining gothic tropes with those of the Western, road movie and film noir, while also introducing elements of the outlaw romance genre. Stacey Abbott's study of the film addresses it as a genre hybrid that also challenges conventions of the vampire film. The family of vampires who lure Caleb into their nocturnal existence is a central element of the film's innovative power: defined by a nomadic lifestyle, anarchic behaviour, a passion for violence, ambition for eternity, intense family bonds, and a gritty visual appearance. The vampires are morally ambiguous and undermine the class structures that have historically defined stories of the undead. These are not aristocrats but instead they capture the allure and horror of the disenfranchised and the underclass. The film is sumptuous in its aesthetic design, offering a nuanced and haunting presentation of its monstrous protagonists who stalk the Midwestern backroads and desert landscape. While it remains Bigelow's only foray into horror to date, its innovation showcases the creativity and artistic richness of the genre without sacrificing its visceral qualities. As Abbott describes, Near Dark was crucial in consolidating Bigelow's standing as a director of significance at an early point in her career, not simply because of her visual art background, but because of the way in which she would from Near Dark onward re-envision other traditionally mainstream genres of filmmaking"-- Provided by publisher.

Summary: "This book describes Machine Learning techniques and algorithms that have been used in recent real-world application. It provides an introduction to Machine Learning, describes the most widely used techniques and methods. It also covers Deep Learning and related areas such as function approximation or. The book gives real world examples where Machine Learning techniques are applied and describes the basic math and the commonly used learning techniques"-- Provided by publisher.

Summary: This book takes an in-depth look at the emerging technologies that are transforming the way clinicians manage patients, while at the same time emphasizing that the best practitioners use both artificial and human intelligence to make decisions. AI and machine learning are explored at length, with plain clinical English explanations of convolutional neural networks, back propagation, and digital image analysis. Real-world examples of how these tools are being employed are also discussed, including their value in diagnosing diabetic retinopathy, melanoma, breast cancer, cancer metastasis, and colorectal cancer, as well as in managing severe sepsis. With all the enthusiasm about AI and machine learning, it was also necessary to outline some of criticisms, obstacles, and limitations of these new tools. Among the criticisms discussed: the relative lack of hard scientific evidence supporting some of the latest algorithms and the so-called black box problem. A chapter on data analytics takes a deep dive into new ways to conduct subgroup analysis and how it's forcing healthcare executives to rethink the way they apply the results of large clinical trials to everyday medical practice. This re-evaluation is slowly affecting the way diabetes, heart disease, hypertension, and cancer are treated. The research discussed also suggests that data analytics will impact emergency medicine, medication management, and healthcare costs. An examination of the diagnostic reasoning process itself looks at how diagnostic errors are measured, what technological and cognitive errors are to blame, and what solutions are most likely to improve the process. It explores Type 1 and Type 2 reasoning methods; cognitive mistakes like availability bias, affective bias, and anchoring; and potential solutions such as the Human Diagnosis Project. Finally, the book explores the role of systems biology and precision medicine in clinical decision support and provides several case studies of how next generation AI is transforming patient care.

Summary: This book presents a unique approach to stream data mining. Unlike the vast majority of previous approaches, which are largely based on heuristics, it highlights methods and algorithms that are mathematically justified. First, it describes how to adapt static decision trees to accommodate data streams; in this regard, new splitting criteria are developed to guarantee that they are asymptotically equivalent to the classical batch tree. Moreover, new decision trees are designed, leading to the original concept of hybrid trees. In turn, nonparametric techniques based on Parzen kernels and orthogonal series are employed to address concept drift in the problem of non-stationary regressions and classification in a time-varying environment. Lastly, an extremely challenging problem that involves designing ensembles and automatically choosing their sizes is described and solved. Given its scope, the book is intended for a professional audience of researchers and practitioners who deal with stream data, e.g. in telecommunication, banking, and sensor networks.

Summary: "Sponsorship of sports, arts or events can be a powerful form of marketing communication for businesses and organizations. This new edition of Sponsorship in Marketing introduces the fundamentals of sponsorship-linked marketing, helping the reader to understand how sponsorship can be planned, executed and measured. Drawing on original research, and exploring key theory, best practice and cutting-edge issues, the book fully explains how the sponsor can implement successful sponsorship to achieve communication and engagement objectives. It covers every important conceptual and functional area of sponsorship in marketing communications, including: understanding the technology-led transformation of sponsoring audiences, strategies and objectives leveraging and activation in traditional and social media building sponsorship portfolios and rosters managing and ending relationships public policy and legal issues Every chapter includes international case studies and examples, test questions, and data from real organizations, business, campaigns and events, vividly illustrating the link between fundamental principles and effective practice. This updated edition features a new model of the sponsorship process with an ecosystem perspective, discussion of endorsers and influencers in sponsorship, an introduction to the impact of streaming on sponsoring, and entirely new thinking on sponsorship returns and evaluation. No other book provides such a comprehensive, evidence-based introduction to sponsorship, demonstrating how organizations can connect brands to real life. This is essential reading for all students and practitioners working in sport marketing, sport business, events marketing, arts administration, business communication or marketing management"-- Provided by publisher.

Summary: "This updated third edition presents a wide-scale, interdisciplinary guide to social media. Examining platforms like Facebook, Instagram, LinkedIn, Snapchat, TikTok, Twitter and YouTube, the book analyzes social media's use in journalism, broadcasting, public relations, advertising and marketing. Lipschultz focuses on key concepts, best practices, data analyses, law and ethics - all promoting the critical thinking that is needed to use new, evolving and maturing networking tools effectively within social and mobile media spaces. Featuring historical markers and contemporary case studies, essays from some of the industry's leading social media innovators and a comprehensive glossary, this practical, multipurpose textbook gives readers the resources they will need to both evaluate and utilize current and future forms of social media communication. Among other changes, updates to the third edition include a deep dive into new approaches to analytics, as well as greater discussion of law and ethics in light of the Facebook Cambridge Analytica scandal, the roll-out of GDPR and new case law relating to social media. Social Media Communication is the perfect social media primer for students and professionals, and, with a dedicated teaching guide, ideal for instructors, too"-- Provided by publisher.

Summary: "Netflix cofounder Reed Hastings reveals for the first time the unorthodox culture behind one of the world's most innovative, imaginative, and successful companies. There's never before been a company like Netflix. Not only because it has led a revolution in the entertainment industries; or because it generates billions of dollars in annual revenue; or even because it is watched by hundreds of millions of people in nearly 200 countries. When Reed Hastings co-founded Netflix, he developed a set of counterintuitive and radical management principles, defying all tradition and expectation, which would allow the company to reinvent itself over and over on the way to becoming one of the most loved brands in the world. Rejecting the conventional wisdom under which other companies operate, Reed set new standards, valuing people over process, emphasizing innovation over efficiency, and giving employees context, not controls. At Netflix, adequate performance gets a generous severance and hard work is irrelevant. At Netflix, you don't try to please your boss, you practice radical candor instead. At Netflix, employees never need approval, and the company always pays top of market. When Hastings and his team first devised these principles, the implications were unknown and untested, but over just a short period of time they have led to unprecedented flexibility, speed, and boldness. The culture of freedom and responsibility has allowed the company to constantly grow and change as the world, and its members' needs, have also transformed. Here for the first time, Hastings and Erin Meyer, bestselling author of The Culture Map and one of the world's most influential business thinkers, dive deep into the controversial philosophies at the heart of the Netflix psyche, which have generated results that are the envy of the business world. Drawing on hundreds of interviews with current and past Netflix employees from around the globe and never-before-told stories of trial and error from his own career, No Rules Rules is the full, fascinating, and untold story of a unique company making its mark on the world"-- Provided by publisher.

Summary: Everybody knows, and maybe even loves, a microgenre. Plague romances and mommy memoirs. Nudie-cutie movies, Nazi zombies, and dinosaur erotica. Baby burlesks, Minecraft fiction, grindcore, premature ejaculation poetry...microgenres come in all varieties and turn up in every form of media under the sun, tailor-made for enthusiasts of all walks of life. Coming into use in the last decade or so, the term "microgenre" classifies increasingly niche-marketed worlds in popular music, fiction, television, and the Internet. Netflix has recently highlighted our fascination with the ultra-niche genre with hilariously specific classifications -- “independent supernatural dramedy featuring a strong female lead” – that can sometimes hit a little too close to home. Each contribution in this collection introduces readers to a different microgenre, drawn from a range of historical periods and from a variety of media. The Microgenre presents a previously untreated point of cultural curiosity, revealing the profound truth that humanity's desire to classify is often only matched by the unsustainability of the obscure and hyper-specific. It also affirms, in colorful detail, what most people suspect but have trouble fathoming in an increasingly homogenized and commercial West: that imaginative projects are just that, imaginative, diverse, and sometimes completely and hilariously inexplicable.

Summary: "The fourth edition of Media and Entertainment Law has been fully updated, analysing some of the most recent judgments in media law from across the United Kingdom, such as: Cliff Richard v the BBC, Max Schrems v Facebook and the Irish Information Commissioner, developments on the 'right to be forgotten' (NT1 and NT2) and ABC v Daily Telegraph (Sir Philip Green). The book's two main themes are freedom of expression and an individual's right to privacy. Regulation of the communication industries is covered extensively, including discussion of the print press and its online editions following Leveson, traditional broadcasting regulations for terrestrial TV and radio as well as media activities on converged devices, such as tablets, iPads, mobile phone devices and 'on demand' services. Intellectual property law (specifically copyright) in the music and entertainment industries is also explored in the book's later chapters. Also new to this edition are sections on: A focus on freedom of expression: its philosophical foundations; the struggles of those who have fought for it; and the varied ways in which the courts interpret freedom of expression regarding the taking and publishing of photographs. The 'right to be forgotten', data breaches, and the General Data Protection Regulation (GDPR). The media's increasing access to the courts, particularly when considering the privacy of those who are suspected of sexual offences. Press regulators, broadcasting and advertising regulations, and film and video regulations. Election and party-political broadcast regulations, with a focus on social media and recent election fraud. The emergence of online music distribution services, internet radio and free digital streaming music services, and their effect on the music industry. The 4th edition also features a variety of pedagogical features to encourage critical analysis of case law and one's own beliefs"-- Provided by publisher.

Summary: Predictive Intelligence in Biomedical and Health Informatics focuses on imaging, computer-aided diagnosis and therapy as well as intelligent biomedical image processing and analysis. It develops computational models, methods and tools for biomedical engineering related to computer-aided diagnostics (CAD), computer-aided surgery (CAS), computational anatomy and bioinformatics. Large volumes of complex data are often a key feature of biomedical and engineering problems and computational intelligence helps to address such problems. Practical and validated solutions to hard biomedical and engineering problems can be developed by the applications of neural networks, support vector machines, reservoir computing, evolutionary optimization, biosignal processing, pattern recognition methods and other techniques to address complex problems of the real world.

Summary: This new edited volume consists of a collection of original articles written by leading financial economists and industry experts in the area of ​​machine learning for asset management. The chapters introduce the reader to some of the latest research developments in the area of ​​equity, multi-asset and factor investing. Each chapter deals with new methods for return and risk forecasting, stock selection, portfolio construction, performance attribution and transaction costs modeling. This volume will be of great help to portfolio managers, asset owners and consultants, as well as academics and students who want to improve their knowledge of machine learning in asset management.

Summary: Smart Card Security: Applications, Attacks, and Countermeasures provides an overview of smart card technology and explores different security attacks and countermeasures associated with it. It covers the origin of smart cards, types of smart cards, and how they work. It discusses security attacks associated with hardware, software, data, and users that are a part of smart card-based systems. The book starts with an introduction to the concept of smart cards and continues with a discussion of the different types of smart cards in use today, including various aspects regarding their configuration, underlying operating system, and usage. It then discusses different hardware- and software-level security attacks in smart card-based systems and applications and the appropriate countermeasures for these security attacks. It then investigates the security attacks on confidentiality, integrity, and availability of data in smart card-based systems and applications, including unauthorized remote monitoring, communication protocol exploitation, denial of service (DoS) attacks, and so forth, and presents the possible countermeasures for these attacks. The book continues with a focus on the security attacks against remote user authentication mechanisms in smart card-based applications and proposes a possible countermeasure for these attacks. Then it covers different communication standards for smart card-based applications and discusses the role of smart cards in various application areas as well as various open-source tools for the development and maintenance of smart card-based systems and applications. The final chapter explains the role of blockchain technology for securing smart card-based transactions and quantum cryptography for designing secure smart card-based algorithms. Smart Card Security: Applications, Attacks, and Countermeasures provides you with a broad overview of smart card technology and its various applications

Summary: "This book is an essential resource exploring the concepts, theories and methods in consumer behaviour specifically applicable to the food and drink sector. Drawing examples from all continents, it provides you with accessible coverage and a truly global perspective of the particular characteristics of this industry"-- Provided by publisher.

Summary: "Amy Sargeant's compelling and meticulous study of Joseph Losey's The Servant (1963) sets the film in the context of a long tradition of fictional depictions of the master-servant relationship, from Shakespeare to Cervantes, Henry James, Dorothy L. Sayers and P.G. Wodehouse. Sargeant points out that while many of these relationships are played for comic effect, that of the 'young master' Tony (James Fox) and his manservant Barrett (Dirk Bogarde) unfolds in a far more sinister manner, with Barrett coming to dominate and humiliate the hapless Tony. Sargeant's reading pays particular attention to the contribution not only of Losey and Harold Pinter, who adapted the screenplay from Robin Maugham's novella, but also of the cinematographer Douglas Slocombe, designer Richard Macdonald and costume designer Beatrice 'Bumble' Dawson. She analyses the performances of Sarah Miles as Barrett's lover Vera and Wendy Craig as Tony's fiancee Susan, as well as those of Fox and Bogarde, and gives careful consideration to how the film uses architectural form, interior design and decoration, and clothing to establish character and relationships. In the context of the collapse of the British Empire, and a beleaguered Establishment beset by spy and sex scandals, the film can be read, Sargeant argues, as a metaphor for the 'state of the nation' in the early 1960s. Finally, Sargeant considers the film's critical and commercial reception in Britain, Europe and the United States - its release, how it was received as one of a number of 'emigre' films, and Losey's surprising denial of a homoerotic intent in the Tony-Barrett relationship. In her new foreword to this edition, Amy Sargeant considers contemporary resonances of the film's depiction of a twisted master-servant relationship in recent TV and cinema including The Crown, Downton Abbey and The Trial of Christine Keeler"-- Provided by publisher.

Summary: "This book lays a new foundation toward achieving artificial self-intelligence by future machines such as intelligent vehicles. Its chapters provide a broad coverage to the three key modules behind the design and development of intelligent vehicles for the ultimate purpose of actively ensuring driving safety as well as preventing accidents from all possible causes. Self-contained and unified in presentation, the book explains in details the fundamental solutions of vehicle's perception, vehicle's decision-making, and vehicle's action-taking in a pedagogic order. Besides the fundamental knowledge and concepts of intelligent vehicle's perception, decision and action, this book includes a comprehensive set of real-life application scenarios in which intelligent vehicles will play a major role or contribution. These case studies of real-life applications will help motivate students to learn this exciting subject. With concise and simple explanations, and boasting a rich set of graphical illustrations, the book is an invaluable source for both undergraduate and postgraduate courses, on artificial intelligence, intelligent vehicle, and robotics, which are offered in automotive engineering, computer engineering, electronic engineering, and mechanical engineering. In addition, the book will help strengthen the knowledge and skills of young researchers who want to venture into the research and development of artificial self-intelligence for intelligent vehicles of the future"-- Provided by publisher.

Summary: "The second edition of Digital and Social Media Marketing is an up to date, industry-led results-driven guide to digital marketing. Mixing academic theory with practical examples from a range of different organisations worldwide, it provides insight into, and techniques to enable, the creation, development and maintenance of a successful digital presence. This highly regarded textbook has been fully revised to bring the content up to date with the newest digital technologies. With topics including developing an effective digital presence, search engine optimization, and measuring brand awareness, the new edition also looks at digital ethics, General Data Protection Regulation (GDPR) and privacy, Artificial Intelligence (AI) and Machine Learning, and Voice strategies. New international case studies are explored, including Alibaba and Amazon, as well as revised practical exercises in each chapter, enable students to see how the concepts underpinning digital and social media marketing support business success. The book's customisable Digital Business Maturity Model, and the Buyer Persona Spring, offer organisations a clear roadmap for understanding their own levels of technology adoption and digital strategy development. This accessible textbook provides a hands-on, user-friendly platform to turn skills and knowledge into strategic advantage. It is ideal for advanced undergraduate and postgraduate students of digital marketing and marketing strategy, and for practitioners aiming to be at the cutting edge of Digital and Social Media Marketing. Alongside electronic resources for each chapter, this new edition also includes digital learning materials, case studies and exercises available in a supporting online learning environment. The online materials further enhance learners' experience and supports a worldwide learning community"-- Provided by publisher.

Summary: "Built using the hands-on and pioneering Missouri Method, this textbook prepares readers to write about and communicate with people of different backgrounds, offering real-world examples of how to practice excellent journalism and strategic communication that takes culture into account. No matter the communication purpose, this book will help readers engage with difference and the concept of fault lines, and to identify and mitigate bias. It provides guidance on communicating the complexity inherent in issues like crime, immigration, and sports, and working with census data to craft stories or strategic campaigns. Above all, the book encourages readers to reconsider assumptions about race, class, gender, identity, sexual orientation, immigration status, religion, disability, and age, and recognize communicators' responsibilities in shaping national discussions. This new edition addresses the ever-changing political and social climate, differentiates excellent journalism from punditry, and shows the business value of understanding diverse perspectives. A fantastic introduction to this complex but important field, this book is perfect for students, teachers, and early career communicators. The combination of a hands-on approach and pull-out boxes with the diverse voices curated by editors María Len-Rios and Earnest Perry make this an ideal text for the classroom and beyond"-- Provided by publisher.

Summary: Coefficient of Variation (CV) is a unit free index indicating the consistency of the data associated with a real-world process and is simple to mold into computational paradigms. This book provides necessary exposure of computational strategies, properties of CV and extracting the metadata leading to efficient knowledge representation. It also compiles representational and classification strategies based on the CV through illustrative explanations. The potential nature of CV in the context of contemporary Machine Learning strategies and the Big Data paradigms is demonstrated through selected applications. Overall, this book explains statistical parameters and knowledge representation models.

Summary: AWS is constantly driving new innovations that empower data scientists to explore a variety of machine learning (ML) cloud services. This book is your comprehensive reference for learning and implementing advanced ML algorithms in AWS cloud. As you go through the chapters, you’ll gain insights into how these algorithms can be trained, tuned and deployed in AWS using Apache Spark on Elastic Map Reduce (EMR), SageMaker, and TensorFlow. While you focus on algorithms such as XGBoost, linear models, factorization machines, and deep nets, the book will also provide you with an overview of AWS as well as detailed practical applications that will help you solve real-world problems. Every practical application includes a series of companion notebooks with all the necessary code to run on AWS. In the next few chapters, you will learn to use SageMaker and EMR Notebooks to perform a range of tasks, right from smart analytics, and predictive modeling, through to sentiment analysis.

Summary: "Producing New and Digital Media is your essential guide to understanding new media, taking a deep dive into such topics as the cultural and social impacts of the web, the importance of digital literacy, and creating in an online environment. This cutting-edge text provides an introductory, hands-on approach to creating user-generated content, coding, cultivating an online brand, and storytelling in new and digital media. In showing you how to navigate the world of digital media and complete digital tasks, this book not only teaches you how to use the web, but also helps you understand why you use it. Key features for the 2nd edition include: Coverage of up-to-date forms of communication on the web: memes, viral videos, social media, and more pervasive types of online languages. New chapters on YouTube influencers and on-demand subscription television. Each chapter has media literacy sidebars, sample assignments, and activities. Updates to the companion website additional materials for students and instructors Thoughtful, entertaining and enlightening, this is the fundamental textbook for students of new and digital media, digital culture and media literacy, as well as a useful resource for anyone wanting to understand and develop their presence in our digital world"-- Provided by publisher.

Summary: This book presents a cutting-edge research procedure in the Nature-Inspired Computing (NIC) domain and its connections with computational intelligence areas in real-world engineering applications. It introduces readers to a broad range of algorithms, such as genetic algorithms, particle swarm optimization, the firefly algorithm, flower pollination algorithm, collision-based optimization algorithm, bat algorithm, ant colony optimization, and multi-agent systems. In turn, it provides an overview of meta-heuristic algorithms, comparing the advantages and disadvantages of each. Moreover, the book provides a brief outline of the integration of nature-inspired computing techniques and various computational intelligence paradigms, and highlights nature-inspired computing techniques in a range of applications, including: evolutionary robotics, sports training planning, assessment of water distribution systems, flood simulation and forecasting, traffic control, gene expression analysis, antenna array design, and scheduling/dynamic resource management.

Summary: "The five-time Emmy Award-winning investigative reporter and New York Times bestselling author of Stonewalled and The Smear uncovers how partisan bias and gullibility are destroying American journalism"-- Provided by publisher.

Summary: Use popular data mining techniques in Microsoft Excel to better understand machine learning methods. Software tools and programming language packages take data input and deliver data mining results directly, presenting no insight on working mechanics and creating a chasm between input and output. This is where Excel can help. Excel allows you to work with data in a transparent manner. When you open an Excel file, data is visible immediately and you can work with it directly. Intermediate results can be examined while you are conducting your mining task, offering a deeper understanding of how data is manipulated and results are obtained. These are critical aspects of the model construction process that are hidden in software tools and programming language packages. This book teaches you data mining through Excel. You will learn how Excel has an advantage in data mining when the data sets are not too large. It can give you a visual representation of data mining, building confidence in your results. You will go through every step manually, which offers not only an active learning experience, but teaches you how the mining process works and how to find the internal hidden patterns inside the data. What You Will Learn: Comprehend data mining using a visual step-by-step approach Build on a theoretical introduction of a data mining method, followed by an Excel implementation Unveil the mystery behind machine learning algorithms, making a complex topic accessible to everyone Become skilled in creative uses of Excel formulas and functions Obtain hands-on experience with data mining and Excel This book is for anyone who is interested in learning data mining or machine learning, especially data science visual learners and people skilled in Excel, who would like to explore data science topics and/or expand their Excel skills. A basic or beginner level understanding of Excel is recommended. Hong Zhou, PhD is a professor of computer science and mathematics and has been teaching c ourses in computer science, data science, mathematics, and informatics at the University of Saint Joseph for more than 15 years. His research interests include bioinformatics, data mining, software agents, and blockchain. Prior to his current position, he was as a Java developer in Silicon Valley. Dr. Zhou believes that learners can develop a better foundation of data mining models when they visually experience them step-by-step, which is what Excel offers. He has employed Excel in teaching data mining and finds it an effective approach for both data mining learners and educators.

Summary: "In this current period of uncertainty and introspection in the media, New Journalisms focuses not just on new challenges facing journalism, but also seeks to capture a wide range of new practices that are being employed across a diversity of media. This edited collection explores how these new practices can lead to a re-imagining of journalism in terms of practice, theory and pedagogy, bringing together high-profile academics, emerging researchers and well-known journalism practitioners. The book's opening chapters assess the challenges of loss of trust and connectivity, shifting professional identity and the demise of local journalism. A section on new practices evaluates algorithms, online participatory news websites and verification. Finally, the collection explores whether new pedagogies offer potential routes to new journalisms. Representing a timely intervention in the debate and providing sustainable impact through its forward-looking focus, New Journalisms is essential reading for students of journalism and media studies"-- Provided by publisher.

Summary: Saransh works at a life insurance company, as part of the Special Projects Group (SPG). Their current project is top-secret: the development of an Artificial Intelligence system that will leave 552 branch-level employees redundant overnight. Because of site-specific customizations, however, the system needs to collect information from the company's various branches. Thus, begins a cycle in which Saransh travels across the country, interviewing the very people that his machine will replace soon. Meanwhile, his conscientious ex-journalist girlfriend Jyoti repeatedly questions Saransh's complicity in the impending destruction of hundreds of lives. The Machine is Learning is a novel about twenty-first-century workplaces, love and the impact of technology in all of our lives. It interrogates a world order that accommodates guilt but offers no truly ethical course correction.