A succinct presentation of the philosophical foundations of Marxism.

    For the first time, the major developed economies began to invest more in intangible assets, like design, branding, R&D, and software, than in tangible assets, like machinery, buildings, and computers. For all sorts of businesses, from tech firms and pharma companies to coffee shops and gyms, the ability to deploy assets that one can neither see nor touch is increasingly the main source of long-term success.But this is not just a familiar story of the so-called new economy. Capitalism without Capital shows that the growing importance of intangible assets has also played a role in some of the big economic changes of the last decade. The rise of intangible investment is, Jonathan Haskel and Stian Westlake argue, an underappreciated cause of phenomena from economic inequality to stagnating productivity.Haskel and Westlake bring together a decade of research on how to measure intangible investment and its impact on national accounts, showing the amount different countries invest in intangibles, how this has changed over time, and the latest thinking on how to assess this. They explore the unusual economic characteristics of intangible investment, and discuss how these features make an intangible-rich economy fundamentally different from one based on tangibles.Capitalism without Capital concludes by presenting three possible scenarios for what the future of an intangible world might be like, and by outlining how managers, investors, and policymakers can exploit the characteristics of an intangible age to grow their businesses, portfolios, and economies.

    “Big data” refers to our burgeoning ability to crunch vast collections of information, analyze it instantly, and draw sometimes profoundly surprising conclusions from it. This emerging science can translate myriad phenomena—from the price of airline tickets to the text of millions of books—into searchable form, and uses our increasing computing power to unearth epiphanies that we never could have seen before. A revolution on par with the Internet or perhaps even the printing press, big data will change the way we think about business, health, politics, education, and innovation in the years to come. It also poses fresh threats, from the inevitable end of privacy as we know it to the prospect of being penalized for things we haven’t even done yet, based on big data’s ability to predict our future behavior.In this brilliantly clear, often surprising work, two leading experts explain what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards. Big Data is the first big book about the next big thing.www.big-data-book.com

    Since shaking off communism two decades ago, the country has seemed wobbly at best, thoroughly corrupt and threatening at worst. But in recent years, as noted scholar Daniel Treisman shows in this compelling account, Russia has re-emerged as a pivotal nation in world affairs. In The Return, Treisman cuts through the myths and misinformation, as well as ongoing academic and journalistic debates, to present a portrait of a strong and independent country that is returning to the international community on its own terms. Drawing on two decades of research, interviews, and insider observation, The Return provides the first comprehensive history of post-communist Russia. From Gorbachev to Yeltsin, Putin, and Medvedev, it traces the twists and turns of the country’s evolution, uncovering the causes behind Russia’s plunge into depression in the 1990s and resurgence since 2000. Rather than a nation frozen in ancient authoritarian traditions, as Russia is often portrayed, Treisman shows a society modernizing rapidly, with a government that, although less than democratic, is sensitive to public opinion but which has been repeatedly buffeted by economic forces—the collapse of Soviet planning, the gyrations of oil prices—that have alternately boosted and drained the leaders’ popularity. Knocked off balance once again by the global financial crisis, the Kremlin’s current bosses must now struggle to reignite the growth on which the stability of their regime depends.As Russia grapples with its economic difficulties, the West will have to come to terms with the new Russia. With its UN Security Council veto, thousands of atomic warheads, continental dimensions, and vast mineral resources, Moscow sits at the epicenter of the toughest challenges the world will confront in the next generation—from Islamic terrorism and nuclear proliferation to energy security and global warming. To enlist Russia’s cooperation in solving the problems of the twenty-first century, Western leaders will need to look beyond common misconceptions to see the country as it is rather than as it has often been imagined or depicted.Based on extensive research by an expert with intimate knowledge of the country, the book provides insight into the prospects for democracy in Russia, the challenges and opportunities of doing business there, the wars in Chechnya, and the motives behind Moscow’s foreign policy. The Return is the ultimate accounting of what Russia is today, how it got there, and where it’s going.

    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.

    Its success "might have established communal property, a far wider democracy in political and legal institutions, might have disestablished the state church and rejected the protestant ethic." In The World Turned Upside Down, Christopher Hill studies the beliefs of such radical groups as the Diggers, the Ranters, the Levellers and others, and the social and emotional impulses that gave rise to them. The relations between rich and poor classes, the part played by wandering 'masterless men,' the outbursts of sexual freedom and deliberate blasphemy, the great imaginative creations of Milton and Bunyan - these and many other elements build up into a marvellously detailed and coherent portrait of this strange, sudden effusion of revolutionary beliefs. It is a portrait not of the bourgeois revolution that actually took place, but of the impulse towards a far more fundamental overturning of society."Incorporates some of Dr. Hill's most profound statements yet about the 17th-century revolution as a whole." -- The Economist

    The disaster not only changed the world’s perception of nuclear power and the science that spawned it, but also our understanding of the planet’s delicate ecology. With the images of the abandoned homes and playgrounds beyond the barbed wire of the 30-kilometer Exclusion Zone, the rusting graveyards of contaminated trucks and helicopters, the farmland lashed with black rain, the event fixed for all time the notion of radiation as an invisible killer.Chernobyl was also a key event in the destruction of the Soviet Union, and, with it, the United States’ victory in the Cold War. For Moscow, it was a political and financial catastrophe as much as an environmental and scientific one. With a total cost of 18 billion rubles—at the time equivalent to $18 billion—Chernobyl bankrupted an already teetering economy and revealed to its population a state built upon a pillar of lies. The full story of the events that started that night in the control room of Reactor No.4 of the V.I. Lenin Nuclear Power Plant has never been told—until now. Through two decades of reporting, new archival information, and firsthand interviews with witnesses, journalist Adam Higginbotham tells the full dramatic story, including Alexander Akimov and Anatoli Dyatlov, who represented the best and worst of Soviet life; denizens of a vanished world of secret policemen, internal passports, food lines, and heroic self-sacrifice for the Motherland. Midnight in Chernobyl, award-worthy nonfiction that reads like sci-fi, shows not only the final epic struggle of a dying empire but also the story of individual heroism and desperate, ingenious technical improvisation joining forces against a new kind of enemy.

    . . An open-eyed analysis of influential technology companies’ ambitions of interest to investors, tech users, and media consumers." —Library JournalIn Silicon States, renowned futurist and celebrated international think-tank leader Lucie Greene offers an unparalleled look at the players, promises, and potential problems of Big Tech. Through interviews with corporate leaders, influential venture capitalists, scholars, journalists, activists, and more, Greene explores the tension inherent in Silicon Valley’s global influence. If these companies can invent a social network, how might they soon transform our political and health-care systems? If they can revolutionize the cell phone, what might they do for space travel, education, or the housing market? As Silicon Valley faces increased scrutiny over its mistreatment of women, cultural shortcomings, and its role in widespread Russian election interference, we are learning where its interests truly lie, and about the great power these companies wield over an unsuspecting citizenry.While the promise of technology is seductive, it is important to understand these corporations’ possible impacts on our political and socioeconomic institutions. Greene emphasizes that before we hand our future over to a rarefied group of companies, we should examine the world they might build and confront its benefits, prejudices, and inherent flaws. Silicon States pushes us to ask if, ultimately, this is the future we really want.

    Now they’ve written a guide to help readers make the most of our collective future. Machine | Platform | Crowd outlines the opportunities and challenges inherent in the science fiction technologies that have come to life in recent years, like self-driving cars and 3D printers, online platforms for renting outfits and scheduling workouts, or crowd-sourced medical research and financial instruments.

    ABOUT THE AUTHORStanding over six feet tall, Jonathan Moeller has the piercing blue eyes of a Conan of Cimmeria, the bronze-colored hair a Visigothic warrior-king, and the stern visage of a captain of men, none of which are useful in his career as a computer repairman, alas.He has written the "Demonsouled" trilogy of sword-and-sorcery novels, and continues to write the "Ghosts" sequence about assassin and spy Caina Amalas, the "Computer Beginner's Guide" series of computer books, and numerous other works.

    Like artists and poets, they are free spirits who resist the restrictions their cultures impose on them. In their pursuit of Nature’s truths, they are guided as much by imagination as by reason, and their greatest theories have the uniqueness and beauty of great works of art.Dyson argues that the best way to understand science is by understanding those who practice it. He tells stories of scientists at work, ranging from Isaac Newton’s absorption in physics, alchemy, theology, and politics, to Ernest Rutherford’s discovery of the structure of the atom, to Albert Einstein’s stubborn hostility to the idea of black holes. His descriptions of brilliant physicists like Edward Teller and Richard Feynman are enlivened by his own reminiscences of them. He looks with a skeptical eye at fashionable scientific fads and fantasies, and speculates on the future of climate prediction, genetic engineering, the colonization of space, and the possibility that paranormal phenomena may exist yet not be scientifically verifiable.Dyson also looks beyond particular scientific questions to reflect on broader philosophical issues, such as the limits of reductionism, the morality of strategic bombing and nuclear weapons, the preservation of the environment, and the relationship between science and religion. These essays, by a distinguished physicist who is also a lovely writer, offer informed insights into the history of science and fresh perspectives on contentious current debates about science, ethics, and faith.

    Blade Runner, The Matrix, Star Wars, Avatar, Star Trek, Ready Player One and Avengers show us futuristic worlds where holograms, intelligent robots, smart devices, virtual avatars, digital transactions, and universe-scale teleportation work together perfectly, somehow seamlessly combining the virtual and the physical with the mechanical and the biological. Science fiction has done an excellent job describing a vision of the future where the digital and physical merge naturally into one — in a way that just works everywhere, for everyone. However, none of these visionary fictional works go so far as to describe exactly how this would actually be accomplished. While it has inspired many of us to ask the question—How do we enable science fantasy to become....science fact? The Spatial Web achieves this by first describing how exponentially powerful computing technologies are creating a great “Convergence.” How Augmented and Virtual Reality will enable us to overlay our information and imaginations onto the world. How Artificial Intelligence will infuse the environments and objects around us with adaptive intelligence. How the Internet of Things and Robotics will enable our vehicles, appliances, clothing, furniture, and homes to become connected and embodied with the power to see, feel, hear, smell, touch and move things in the world, and how Blockchain and Cryptocurrencies will secure our data and enable real-time transactions between the human, machine and virtual economies of the future. The book then dives deeply into the challenges and shortcomings of the World Wide Web, the rise of fake news and surveillance capitalism in Web 2.0 and the risk of algorithmic terrorism and biological hacking and “fake-reality” in Web 3.0. It raises concerns about the threat that emerging technologies pose in the hands of rogue actors whether human, algorithmic, corporate or state-sponsored and calls for common sense governance and global cooperation. It calls for business leaders, organizations and governments to not only support interoperable standards for software code, but critically, for ethical, and social codes as well. Authors Gabriel René and Dan Mapes describe in vivid detail how a new “spatial” protocol is required in order to connect the various exponential technologies of the 21st century into an integrated network capable of tracking and managing the real-time activities of our cities, monitoring and adjusting the supply chains that feed them, optimizing our farms and natural resources, automating our manufacturing and distribution, transforming marketing and commerce, accelerating our global economies, running advanced planet-scale simulations and predictions, and even bridging the gap between our interior individual reality and our exterior collective one. Enabling the ability for humans, machines and AI to communicate, collaborate and coordinate activities in the world at a global scale and how the thoughtful application of these technologies could lead to an unprecedented opportunity to create a truly global “networked” civilization or "Smart World.” The book artfully shifts between cyberpunk futurism, cautionary tale-telling, and life-affirming call-to-arms. It challenges us to consider the importance of today’s technological choices as individuals, organizations, and as a species, as we face the historic opportunity we have to transform the web, the world, and our very definition of reality.

    In the process he tackles the question that has obsessed historians ever since: What made eighteenth-century Britain such fertile soil for inventors? Rosen’s answer focuses on a simple notion that had become enshrined in British law the century before: that people had the right to own and profit from their ideas.    The result was a period of frantic innovation revolving particularly around the promise of steam power. Rosen traces the steam engine’s history from its early days as a clumsy but sturdy machine, to its coming-of-age driving the wheels of mills and factories, to its maturity as a transporter for people and freight by rail and by sea. Along the way we enter the minds of such inventors as Thomas Newcomen and James Watt, scientists including Robert Boyle and Joseph Black, and philosophers John Locke and Adam Smith—all of whose insights, tenacity, and ideas transformed first a nation and then the world. William Rosen is a masterly storyteller with a keen eye for the “aha!” moments of invention and a gift for clear and entertaining explanations of science. The Most Powerful Idea in the World will appeal to readers fascinated with history, science, and the hows and whys of innovation itself.

    The Computer Revolution may be even more life-changing than the Industrial Revolution. We can do things with computers that could never be done before, and computers can do things for us that could never be done before.But our love of computers should not cloud our thinking about their limitations.We are told that computers are smarter than humans and that data mining can identify previously unknown truths, or make discoveries that will revolutionize our lives. Our lives may well be changed, but not necessarily for the better. Computers are very good at discovering patterns, but are uselessin judging whether the unearthed patterns are sensible because computers do not think the way humans think.We fear that super-intelligent machines will decide to protect themselves by enslaving or eliminating humans. But the real danger is not that computers are smarter than us, but that we think computers are smarter than us and, so, trust computers to make important decisions for us.The AI Delusion explains why we should not be intimidated into thinking that computers are infallible, that data-mining is knowledge discovery, and that black boxes should be trusted.

     If you have ever found yourself lost halfway through other introductory materials on this topic, this is the book for you. If you don't understand set terminology such as vectors, hyperplanes, and centroids, then this is also the book for you. This starter course isn't a picture story book but does include many visual examples that break algorithms down into a digestible and practical format. As a starter course, this book connects the dots and offers the crash course I wish I had when I first started. The kind of guide I wish had before I started taking on introductory courses that presume you’re two days away from an advanced mathematics exam. That’s why this introductory course doesn’t go further on the subject than other introductory books, but rather, goes a step back. A half-step back in order to help everyone make his or her first strides in machine learning and is an ideal study companion for the visual learner. In this step-by-step guide you will learn: - How to download free datasets - What tools and software packages you need - Data scrubbing techniques, including one-hot encoding, binning and dealing with missing data - Preparing data for analysis, including k-fold Validation - Regression analysis to create trend lines - Clustering, including k-means and k-nearest Neighbors - Naive Bayes Classifier to predict new classes - Anomaly detection and SVM algorithms to combat anomalies and outliers - The basics of Neural Networks - Bias/Variance to improve your machine learning model - Decision Trees to decode classification Please feel welcome to join this starter course by buying a copy, or sending a free sample to your preferred device.