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

Summary: "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: As soon as the Spectator model spread from England to continental Europe and began to be incorporated in French, Dutch and German translations and adaptions, the respective journalistic networks and negotiations regularly exceeded local, regional, and even national boundaries and took on international dimensions. The contributions of the present volume outline the historical development and the intricate literary, artistic, journalistic and scientific communication and distribution networks of the moral weeklies and periodical essays inspired by the Spectator prototype in Europe and North America. Thus, these periodicals become visible as parts and products of ramified learned and creative negotiations on genres, writing techniques and topics.

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 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: This book will guide you through the implementation and nuances of many popular supervised machine learning algorithms while facilitating a deep understanding along the way. You’ll embark on this journey with a quick overview and see how supervised machine learning differs from unsupervised learning. Next, we explore parametric models such as linear and logistic regression, non-parametric methods such as decision trees, and various clustering techniques to facilitate decision-making and predictions. As we proceed, you'll work hands-on with recommender systems, which are widely used by online companies to increase user interaction and enrich shopping potential. Finally, you’ll wrap up with a brief foray into neural networks and transfer learning.

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

Summary: "In The Age of AI, researcher Jason Thacker explores how the prevalence of artificial intelligence shapes what it means to be human today - and how the fact that we are made in the image of God transforms everything about how we use it"-- 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: This Open Access book explores questions such as why and how did the first biological cells appear? And then complex organisms, brains, societies and -now- connected human societies? Physicists have good models for describing the evolution of the universe since the Big Bang, but can we apply the same concepts to the evolution of aggregated matter -living matter included? The Amazing Journey analyzes the latest results in chemistry, biology, neuroscience, anthropology and sociology under the light of the evolution of intelligence, seen as the ability of processing information. The main strength of this book is using just two concepts used in physics -information and energy- to explain: The emergence and evolution of life: procaryotes, eukaryotes and complex organisms The emergence and evolution of the brain The emergence and evolution of societies (human and not) Possible evolution of our "internet society" and the role that Artificial Intelligence is playing.

Summary: "When working with a data set, a machine learning engineer might train a model but find that the results are not as good as they need. To get better results, they can try to improve the model or collect more data, but there is another avenue: feature engineering. The feature engineering process can help improve results by modifying the data's features to better capture the nature of the problem. This process is partly an art and partly a palette of tricks and recipes. This practical guide to feature engineering is an essential addition to any data scientist's or machine learning engineer's toolbox, providing new ideas on how to improve the performance of a machine learning solution. Beginning with the basic concepts and techniques of feature engineering, the text builds up to a unique cross-domain approach that spans data on graphs, texts, time series, and images, with fully worked out case studies. Key topics include binning, out-of-fold estimation, feature selection, dimensionality reduction, and encoding variable-length data. The full source code for the case studies is available on a companion website as Python Jupyter notebooks"-- Provided by publisher.

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

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

Summary: "Fintech has emerged as one of the fastest growing sectors in the financial services industry and has radically disrupted traditional banking. However, it has become clear that in order for both to thrive the culture between fintech and incumbent firms will need to change from one of competition to one of collaboration. The Financial Services Guide to Fintech looks at this trend in detail, using case studies of successful partnerships to show how banks and fintech organizations can work together to innovate faster and increase profitability. Written by an experienced fintech advisor and influencer, this book explains the fundamental concepts of this exciting space and the key segments to have emerged, including regtech, robo-advisory, blockchain and personal finance management. It looks at the successes and failures of bank-fintech collaboration, focusing on technologies and start-ups that are highly relevant to banks' product and business areas such as cash management, compliance and tax. With international coverage of key markets in Europe, Africa, Asia, Latin America and the US, The Financial Services Guide to Fintech offers practical guidance, use cases and business models for banks and financial services firms to use when working with fintech companies"-- 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.

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

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

Summary: "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: "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: This unique book discusses a selection of highly relevant topics in the Social Internet of Things (SIoT), including blockchain, fog computing and data fusion. It also presents numerous SIoT-related applications in fields such as agriculture, health care, education and security, allowing researchers and industry practitioners to gain a better understanding of the Social Internet of Things.

Summary: "Transnational Media: Concepts and Cases provides a clear and engaging overview of media communication from a global and a region-based perspective. Rather than focusing on just complex theories and industry-specific analyses, this unique book offers an inclusive, comparative approach to both journalism and entertainment media--introducing readers to the essential concepts, systems, transnational influences, and power dynamics that shape global media flow. Broad coverage of different media forms from Asia, Africa, the Americas, Europe, and Oceania offers country-based and transnational perspectives while highlighting examples of media trends in television, radio, film, journalism, social media, music, and others. Promoting a balanced, multipolar exploration of transnational media, this innovative book discusses topics such as media concentration, the cultural, political, and economic impact of media, and the primary centers of new and traditional media activities. Chapters organized by geographic region offer instructive pedagogical features--including case studies and essays, and illustrations, maps and charts--that strengthen understanding of distinctive and emerging practices in the production, distribution, and consumption of media products.Explores a wide range of global media topics, infrastructures, cultures, and political-economic climates Written in an engaging, relatable, and easy to understand style Covers major aspects of journalism and various forms of entertainment media Organized by regions of the world to reflect a global perspective Includes newly-written case studies by international scholars from each region Designed for undergraduate and graduate courses in comparative media analysis, international media and communication, and related areas of study"-- Provided by publisher.

Summary: "Where Ideas Go to Die explores the troubled relationship of US journalism and intellect. A defender of common sense, the press is irked at intellect yet often dependent on its critical autonomy. A postwar observation from Richard Hofstadter applies to contemporary journalists: "Men do not rise in the morning, grin at themselves in their mirrors, and say: 'Ah, today I shall torment an intellectual and strangle an idea!'" The book nevertheless documents the prowess of news media in the policing of intellect. Control extends beyond suppression of ideas and ways of thinking to the aggressive rendering of dissent into deviance. The social control of intellect by journalism is accompanied by social control of journalism in newsrooms and in classrooms where norms are cultivated. Anti-intellectualism consequently operates like dark matter in media, a presence inferred by its effects rather than directly observed or acknowledged. When journalists anticipate a punitive public, the reified resentment is no more real than the fiction of omnipotent citizens in democratic theory, yet the audience imagined compels how intellect is rendered in the news as nuisance, deviance, or object of ridicule. Journalism's contribution to the social control of ideas is poignantly democratic: audiences are cast in consequential roles that affirm their wisdom in a closed, self-referential system. The book concludes with a discussion about what intellectual journalism would look like. Interviews with 25 "dangerous professors" demonstrate how alliances in the academic-media nexus can seed intellect in newswork"-- Provided by publisher.

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

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

Summary: This book explains the 3GPP technical specifications for the upcoming 5G Internet of Things (IoT) technology based on latest release which is Release 14. It details the LTE protocol stack of an IoT device, architecture and framework, how they are functioning and communicate with cellular infrastructure, and supported features and capability. NB-IoT is designed to connect a large number of devices in a wide range of application domains forming so-called Internet of Things (IoT). Connected devices are to communicate through cellular infrastructure. This technology is new within the 3GPP specifications and is part of upcoming new wireless technology known as 5G-- Provided by publisher.

Summary: "RFID (radio frequency identification) has been deployed in the billions to track objects through the global economy and is used to manage and monitor public transportation systems, store identifying information in biometric passports, communicate sensor information about infrastructure and food safety, power contactless "smart" cards, and provide essential identification functions for the growing Internet of Things. RFID tags can be as small as a grain of rice and sown into clothing or embedded in packaging--even inside animal and human bodies. They are found in credit cards, key fobs, car windshields, your T pass, consumer electronics, the walls of tunnels--and yet, most people are unaware of their presence. This book will be the first to look at RFID as an invisible suite of mobile technologies that makes up an integral piece of the development of networked infrastructure, mobile payment, and the global economy. Frith takes on the subject from multiple angles, including the history of the technology, industry, its role in the Internet of Things, big data, surveillance and privacy concerns, and mobile infrastructures"-- Provided by publisher.

Summary: A Computational Approach to Statistical Learning gives a novel introduction to predictive modeling by focusing on the algorithmic and numeric motivations behind popular statistical methods. The text contains annotated code to over 80 original reference functions. These functions provide minimal working implementations of common statistical learning algorithms. Every chapter concludes with a fully worked out application that illustrates predictive modeling tasks using a real-world dataset. The text begins with a detailed analysis of linear models and ordinary least squares. Subsequent chapters explore extensions such as ridge regression, generalized linear models, and additive models. The second half focuses on the use of general-purpose algorithms for convex optimization and their application to tasks in statistical learning. Models covered include the elastic net, dense neural networks, convolutional neural networks (CNNs), and spectral clustering. A unifying theme throughout the text is the use of optimization theory in the description of predictive models, with a particular focus on the singular value decomposition (SVD). Through this theme, the computational approach motivates and clarifies the relationships between various predictive models. Taylor Arnold is an assistant professor of statistics at the University of Richmond. His work at the intersection of computer vision, natural language processing, and digital humanities has been supported by multiple grants from the National Endowment for the Humanities (NEH) and the American Council of Learned Societies (ACLS). His first book, Humanities Data in R, was published in 2015. Michael Kane is an assistant professor of biostatistics at Yale University. He is the recipient of grants from the National Institutes of Health (NIH), DARPA, and the Bill and Melinda Gates Foundation. His R package bigmemory won the Chamber's prize for statistical software in 2010. Bryan Lewis is an applied mathematician and author of many popular R packages, including irlba, doRedis, and threejs.

Summary: "A groundbreaking narrative on the urgency of ethically designed AI and a guidebook to reimagining life in the era of intelligent technology The Age of Intelligent Machines is upon us, and we are at a reflection point . The proliferation of fast-moving technologies, including forms of artificial intelligence, will cause us to confront profound questions about ourselves. The era of human intellectual superiority is ending, and, as a species, we need to plan for this monumental shift. A Human Algorithm: How Artificial Intelligence Is Redefining Who We Are examines the immense impact intelligent technology will have on humanity. These machines, while challenging our personal beliefs and our socio-economic world order, also have the potential to transform our health and well-being, alleviate poverty and suffering, and reveal the mysteries of intelligence and consciousness. International human rights attorney Flynn Coleman deftly argues that it is critical we instill values, ethics, and morals into our robots, algorithms, and other forms of AI. Equally important, we need to develop and implement laws, policies, and oversight mechanisms to protect us from tech's insidious threats. To realize AI's transcendent potential, Coleman advocates for inviting a diverse group of voices to participate in designing our intelligent machines and using our moral imagination to ensure that human rights, empathy, and equity are core principles of emerging technologies. Ultimately, A Human Algorithm is a clarion call for building a more humane future and moving conscientiously into a new frontier of our own design"-- Provided by publisher.

Summary: Every new technology invites its own sets of hopes and fears, and raises as many questions as it answers revolving around the same theme: Will technology fundamentally alter the essence of what it means to be human? This volume draws inspiration from the work of the many luminaries who approach augmented, alternative forms of intelligence and consciousness. Scholars contribute their thoughts on how human augmentic technologies and artificial or sentient forms of intelligence can be used to enable, reimagine, and reorganize how we understand our selves, how we conceive the meaning of "human", and how we define meaning in our lives.

Adaptations in Convergence Culture reevaluates adaptation's place in a popular culture marked by the movement of audiences across more media borders than ever before. While adaptation has historically been understood as the transfer of stories from one medium to another (e.g. novels to films), the increased range of media and the growing interconnectedness of media industries in the early 21st century have raised new questions about the forms and functions of adaptation. The term 'convergence culture' refers to the bringing together of old and new media - digital adaptations (apps, video games, e-literature) are now juxtaposed with old media adaptations (board and card games, tie-in toys) with franchises such as The Avengers, The Hunger Games, and Harry Potter (which is also a theme park.) Where do adaptations fit within massive franchises that span comics, novels, films, plays, television series, theme parks and video games? Rising scholar Kyle Meikle illuminates the enduring role that adaptation has played into the 21st Century. On the one hand, the production of adaptations has continued apace-not only in film adaptations of novels but in televisual and film adaptations of entire book and comic series. On the other hand, adaptation has emerged as its own productive strategy for the consumers of convergence culture, in practices like fan fiction, modding and remixing. By looking both at the transmedia franchises in which adaptations have played a part and the fan activities surrounding those franchises, we may glean a clearer picture of adaptation in the first decade of the 2000s.

Summary: Develop and optimize deep learning models with advanced architectures. This book teaches you the intricate details and subtleties of the algorithms that are at the core of convolutional neural networks. In Advanced Applied Deep Learning, you will study advanced topics on CNN and object detection using Keras and TensorFlow. Along the way, you will look at the fundamental operations in CNN, such as convolution and pooling, and then look at more advanced architectures such as inception networks, resnets, and many more. While the book discusses theoretical topics, you will discover how to work efficiently with Keras with many tricks and tips, including how to customize logging in Keras with custom callback classes, what is eager execution, and how to use it in your models. Finally, you will study how object detection works, and build a complete implementation of the YOLO (you only look once) algorithm in Keras and TensorFlow. By the end of the book you will have implemented various models in Keras and learned many advanced tricks that will bring your skills to the next level. You will: See how convolutional neural networks and object detection work Save weights and models on disk Pause training and restart it at a later stage Use hardware acceleration (GPUs) in your code Work with the Dataset TensorFlow abstraction and use pre-trained models and transfer learning Remove and add layers to pre-trained networks to adapt them to your specific project Apply pre-trained models such as Alexnet and VGG16 to new datasets.

Summary: Written by renowned authors and researchers in the field, this invaluable resource presents detailed coverage of recent innovations in computer hardware, software, theory, design, and applications. -- Edited summary from book.

Summary: This book introduces readers to both basic and advanced concepts in deep network models. It covers state-of-the-art deep architectures that many researchers are currently using to overcome the limitations of the traditional artificial neural networks. Various deep architecture models and their components are discussed in detail, and subsequently illustrated by algorithms and selected applications. In addition, the book explains in detail the transfer learning approach for faster training of deep models; the approach is also demonstrated on large volumes of fingerprint and face image datasets. In closing, it discusses the unique set of problems and challenges associated with these models.

Summary: This book provides comprehensive details of all Swarm Intelligence based Techniques available till date in a comprehensive manner along with their mathematical proofs. It will act as foundation for authors, researchers and industry professionals-- Provided by publisher.

Summary: "Meet the biggest animal on land--the African elephant! Everything about this title is big, from the full-bleed photographs to the content." -- Amazon.com.

Summary: "Amid the torrent of information we receive every day, aggregation of previously reported stories allows readers to streamline, summarize, and process the news. While aggregation in one form or another has been part of journalism since the nineteenth century, it has taken on a new prominence and influence in today's media ecosystem While aggregation practices are increasingly being adopted by new digital entities and leading news organizations via news apps, e-mail newsletters, and other formats, they are denigrated by journalists as not "real" journalism and inferior to reporting. More recently, aggregation has been viewed with suspicion as a practice that allows for the news to be repackaged in ways that reflect political bias. Despite the tendency of some aggregators to distort the news, whether for the purpose of clicks or politics, aggregation, Coddington argues, serve an important purpose in the contemporary news environment. Given that aggregation is likely here to stay, journalists and readers need to develop practices to better understand and improve its implementation and influence. Coddington's work is based on his fieldwork and interviews with aggregators at five different news organizations, including both startups and legacy media organizations that use aggregation. The book focuses on how aggregators make decisions on what to publish, how they create narrative, how they understand their audiences, and how they view their own work"-- Provided by publisher.

Summary: Build resilient applied machine learning teams that deliver better data products through adapting the guiding principles of the Agile Manifesto. Bringing together talented people to create a great applied machine learning team is no small feat. With developers and data scientists both contributing expertise in their respective fields, communication alone can be a challenge. Agile Machine Learning teaches you how to deliver superior data products through agile processes and to learn, by example, how to organize and manage a fast-paced team challenged with solving novel data problems at scale, in a production environment. The authors' approach models the ground-breaking engineering principles described in the Agile Manifesto. The book provides further context, and contrasts the original principles with the requirements of systems that deliver a data product. What You'll Learn Effectively run a data engineering team that is metrics-focused, experiment-focused, and data-focused Make sound implementation and model exploration decisions based on the data and the metrics Know the importance of data wallowing: analyzing data in real time in a group setting Recognize the value of always being able to measure your current state objectively Understand data literacy, a key attribute of a reliable data engineer, from definitions to expectations Who This Book Is For Anyone who manages a machine learning team, or is responsible for creating production-ready inference components. Anyone responsible for data project workflow of sampling data; labeling, training, testing, improving, and maintaining models; and system and data metrics will also find this book useful. Readers should be familiar with software engineering and understand the basics of machine learning and working with data.

Summary: "Always Get the Name of the Dog is a guide to journalistic interviewing written by a journalist for journalists. It features advice from some of the best writers and reporters in the business and takes a comprehensive view of media interviewing across multiple platforms, while emphasizing active learning to give readers actionable steps to become great media interviewers. Through real scenarios and examples, this text takes future journalists through the steps of the interview, from research to source identification to question development and beyond. Whether you are a journalism student or an experienced reporter looking to sharpen your skills, this text can help make sure you get all you need from every interview you conduct"-- Provided by publisher.

Summary: This book adopts a systematic view of control systems in the cyber-physical system including the security control of the optimal control system, security control of the noncooperative game system, quantify the impact of the Denial-of-Service attacks on the optimal control system, and the adaptive security control of the networked control systems--

Summary: In such an era of big data where data mining and data analysis technologies are effective approaches for wireless system evaluation and design, the applications of machine learning in wireless communications have received a lot of attention recently. Machine learning provides feasible and new solutions for the complex wireless communication system design. It has been a powerful tool and popular research topic with many potential applications to enhance wireless communications, e.g. radio channel modelling, channel estimation and signal detection, network management and performance improvement, access control, resource allocation. However, most of the current researches are separated into different fields and have not been well organized and presented yet. It is therefore difficult for academic and industrial groups to see the potentialities of using machine learning in wireless communications. It is now appropriate to present a detailed guidance of how to combine the disciplines of wireless communications and machine learning.

Summary: The book focuses on how machine learning and Internet of Things (IoT) has empowered the advancement of information driven arrangements including key concepts and advancements. Divided into sections such as machine learning, security, IoT and data mining, the concepts are explained with practical implementation including results"--

Summary: "This comprehensive textbook explores the theoretical underpinnings of learning and equips readers with the knowledge needed to apply powerful machine learning techniques to solve challenging real-world problems. Applied Machine Learning shows, step by step, how to conceptualize problems, acurately represent data, select and tune algorithms, interpret and analyze results, and make informed strategic decisions. Presented in a non-rigorous mathematical syle, the book covers a broad array of machine learning ropics with special emphasis on methods that have been profitably employed." -- back cover.