Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

    In the last decade, it has utterly transformed our lives. But what real effects is it having on our social world?What does it mean to be a modern family when dinner table conversations take place over smartphones? What happens to privacy when we readily share our personal lives with friends and corporations? Are our Facebook updates and Twitterings inspiring revolution or are they just a symptom of our global narcissism? What counts as celebrity, when everyone can have a following or be a paparazzo? And what happens to relationships when love, sex and hate can be mediated by a computer?Social psychologist Aleks Krotoski has spent a decade untangling the effects of the Web on how we work, live and play. In this groundbreaking book, she uncovers how much humanity has - and hasn't - changed because of our increasingly co-dependent relationship with the computer. In Untangling the Web, she tells the story of how the network became woven in our lives, and what it means to be alive in the age of the Internet.

    Building on two widely acclaimed previous editions, Craig Larman has updated this book to fully reflect the new UML 2 standard, to help you master the art of object design, and to promote high-impact, iterative, and skillful agile modeling practices.Developers and students will learn object-oriented analysis and design (OOA/D) through three iterations of two cohesive, start-to-finish case studies. These case studies incrementally introduce key skills, essential OO principles and patterns, UML notation, and best practices. You won’t just learn UML diagrams - you’ll learn how to apply UML in the context of OO software development.Drawing on his unsurpassed experience as a mentor and consultant, Larman helps you understand evolutionary requirements and use cases, domain object modeling, responsibility-driven design, essential OO design, layered architectures, “Gang of Four” design patterns, GRASP, iterative methods, an agile approach to the Unified Process (UP), and much more. This edition’s extensive improvements include:- A stronger focus on helping you master OOA/D through case studies that demonstrate key OO principles and patterns, while also applying the UML- New coverage of UML 2, Agile Modeling, Test-Driven Development, and refactoring- Many new tips on combining iterative and evolutionary development with OOA/D- Updates for easier study, including new learning aids and graphics- New college educator teaching resources- Guidance on applying the UP in a light, agile spirit, complementary with other iterative methods such as XP and Scrum- Techniques for applying the UML to documenting architectures- A new chapter on evolutionary requirements, and much moreApplying UML and Patterns, Third Edition, is a lucid and practical introduction to thinking and designing with objects - and creating systems that are well crafted, robust, and maintainable.

    Hardcover published by Quadragle/The New York Times Book Co., third printing, August 1977, copyright 1975.

    Based on numerous interviews, this book reveals exclusive new information about how Apple innovates, deals with its suppliers, and is handling the transition into the post Jobs era.

    This third edition brings the book right up to date with both new theoretical work and, social and technological changes (such as the rapid growth of the Internet and accelerated globalization), reassessing the work of key theorists in light of these changes.This book is essential reading for students of contemporary social theory and anybody interested in social and technological change in the post-war era. It addresses issues of central concern to students of sociology, politics, communications, information science, cultural studies, computing and librarianship.

    This change is being driven by powerful new cognitive tools, enabled by the internet, which are greatly accelerating scientific discovery. There are many books about how the internet is changing business or the workplace or government. But this is the first book about something much more fundamental: how the internet is transforming the nature of our collective intelligence and how we understand the world.Reinventing Discovery tells the exciting story of an unprecedented new era of networked science. We learn, for example, how mathematicians in the Polymath Project are spontaneously coming together to collaborate online, tackling and rapidly demolishing previously unsolved problems. We learn how 250,000 amateur astronomers are working together in a project called Galaxy Zoo to understand the large-scale structure of the Universe, and how they are making astonishing discoveries, including an entirely new kind of galaxy. These efforts are just a small part of the larger story told in this book--the story of how scientists are using the internet to dramatically expand our problem-solving ability and increase our combined brainpower.This is a book for anyone who wants to understand how the online world is revolutionizing scientific discovery today--and why the revolution is just beginning.

    These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics, and cryptography. This textbook introduces theory in tandem with applications. Information theory is taught alongside practical communication systems, such as arithmetic coding for data compression and sparse-graph codes for error-correction. A toolbox of inference techniques, including message-passing algorithms, Monte Carlo methods, and variational approximations, are developed alongside applications of these tools to clustering, convolutional codes, independent component analysis, and neural networks. The final part of the book describes the state of the art in error-correcting codes, including low-density parity-check codes, turbo codes, and digital fountain codes -- the twenty-first century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, David MacKay's groundbreaking book is ideal for self-learning and for undergraduate or graduate courses. Interludes on crosswords, evolution, and sex provide entertainment along the way. In sum, this is a textbook on information, communication, and coding for a new generation of students, and an unparalleled entry point into these subjects for professionals in areas as diverse as computational biology, financial engineering, and machine learning.

    Fuller expresses what may well be his penultimate view of the human condition. Here, in a mood at once philosophical and involved, Mr. Fuller traces man's intellectual evolution and weighs his capability for survival on this magnificent craft, this Spaceship Earth, this superbly designed sphere of almost negligible dimension in the great vastness of space.Mr. Fuller is optimistic that man will survive and, through research and development and increased industrialization, generate wealth so rapidly that he can do very great things. But, he notes, there must be an enormous educational task successfully accomplished right now to convert man's tendency toward oblivion into a realization of his potential, to a universe-exploring advantage from this Spaceship Earth.It has been noted that Mr. Fuller spins ideas in clusters, and clusters of his ideas generate still other clusters. The concept spaceship earth is Mr. Fuller's, and though used by Barbara Ward as the title of a work of her own the idea was acknowledged by her there as deriving from Mr. Fuller. The brilliant syntheses of some fundamental Fuller principles given here makes of this book a microcosm of the Fuller system.

    This brilliant work heralds the new age of nanotechnology, which will give us thorough and inexpensive control of the structure of matter.  Drexler examines the enormous implications of these developments for medicine, the economy, and the environment, and makes astounding yet well-founded projections for the future.

    Whether you’re an intermediate-level Python programmer or a student of computational modeling, you’ll delve into examples of complex systems through a series of exercises, case studies, and easy-to-understand explanations.You’ll work with graphs, algorithm analysis, scale-free networks, and cellular automata, using advanced features that make Python such a powerful language. Ideal as a text for courses on Python programming and algorithms, Think Complexity will also help self-learners gain valuable experience with topics and ideas they might not encounter otherwise.Work with NumPy arrays and SciPy methods, basic signal processing and Fast Fourier Transform, and hash tablesStudy abstract models of complex physical systems, including power laws, fractals and pink noise, and Turing machinesGet starter code and solutions to help you re-implement and extend original experiments in complexityExplore the philosophy of science, including the nature of scientific laws, theory choice, realism and instrumentalism, and other topicsExamine case studies of complex systems submitted by students and readers

    . . and deaths. After the era of the atomic bomb, Virilio posits an era of genetic and information bombs which replace the apocalyptic bang of nuclear death with the whimper of a subliminally reinforced eugenics. We are entering the age of euthanasia.These exhilarating bulletins from the information war extend the range of Virilio's work. The Information Bomb spans everything from Fukuyama to Larry Flynt, the Sensation exhibition of New British Art to space travel, all seen through the optic of Virilio's trenchant and committed theoretical position.

    IT WILL CHANGE WHAT IT MEANS TO BE HUMAN. IT HAS ALREADY BEGUN. What if you could remember everything? Gordon Bell and Jim Gemmell draw on their experience from their MyLifeBits project at Microsoft Research to explain the benefits to come from an earth-shaking and inevitable increase in electronic memories. In 1998 they began using Bell, a luminary in the computer world, as a test case, attempting to digitally record as much of his life as possible. Photos, letters, and memorabilia were scanned. Everything he did on his computer was captured. He wore an automatic camera, an arm-strap that logged his bio-metrics, and began recording telephone calls. This experiment, and the system they created to support it, put them at the center of a movement studying the creation and enjoyment of e-memories.Since then the three streams of technology feeding the Total Recall revolution—digital recording, digital storage, and digital search, have become gushing torrents. We are capturing so much of our lives now, be it on the date- and location-stamped photos we take with our smart phones or in the continuous records we have of our emails, instant messages, and tweets--not to mention the GPS tracking of our movements many cars and smart phones already do automatically. We are storing what we capture either out there in the “cloud” of services such as Facebook or on our very own increasingly massive and cheap hard drives. But the critical technology, and perhaps least understood, is our magical new ability to find the information we want in the mountain of data that is our past. And not just Google it, but data mine it so that, say, we can chart how much exercise we have been doing in the last four weeks in comparison with what we did four years ago. In health, education, work life, and our personal lives, the Total Recall revolution is going to change everything. As Bell and Gemmell show, it has already begun.Total Recall provides a glimpse of the near future. Imagine heart monitors woven into your clothes and tiny wearable audio and visual recorders automatically capturing what you see and hear. Imagine being able to summon up the e-memories of your great grandfather and his avatar giving you advice about whether or not to go to college, accept that job offer, or get married. The range of potential insights is truly awesome. But Bell and Gemmell also show how you can begin to take better advantage of this new technology right now. From how to navigate the serious question of privacy and serious problem of application compatibility to what kind of startups Bell is willing to invest in and which scanner he prefers, this is a book about a turning point in human knowledge as well as an immediate practical guide.Total Recall is a technological revolution that will accomplish nothing less than a transformation in the way humans think about the meaning of their lives.Watch a Video

    Reveals how to run an online business profitably in spite of the Internet's inherently free culture, disseminating the principles of a ''priceless economy'' in six categories that pertain to advertising, labor exchange, and advanced-version fees.

    New emphasis has been given to complexity, networks, and patterns of organisation, leading to a novel kind of 'systemic' thinking. This volume integrates the ideas, models, and theories underlying the systems view of life into a single coherent framework. Taking a broad sweep through history and across scientific disciplines, the authors examine the appearance of key concepts such as autopoiesis, dissipative structures, social networks, and a systemic understanding of evolution. The implications of the systems view of life for health care, management, and our global ecological and economic crises are also discussed. Written primarily for undergraduates, it is also essential reading for graduate students and researchers interested in understanding the new systemic conception of life and its implications for a broad range of professions - from economics and politics to medicine, psychology and law.