She ended up becoming so closely connected to Anonymous that the tricky story of her inside–outside status as Anon confidante, interpreter, and erstwhile mouthpiece forms one of the themes of this witty and entirely engrossing book.The narrative brims with details unearthed from within a notoriously mysterious subculture, whose semi-legendary tricksters—such as Topiary, tflow, Anachaos, and Sabu—emerge as complex, diverse, politically and culturally sophisticated people. Propelled by years of chats and encounters with a multitude of hackers, including imprisoned activist Jeremy Hammond and the double agent who helped put him away, Hector Monsegur, Hacker, Hoaxer, Whistleblower, Spy is filled with insights into the meaning of digital activism and little understood facets of culture in the Internet age, including the history of “trolling,” the ethics and metaphysics of hacking, and the origins and manifold meanings of “the lulz.”

    Now that machine learning is thriving, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn how to use a range of techniques, starting with simple Linear Regression and progressing to Deep Neural Networks. If you have some programming experience and you’re ready to code a machine learning project, this guide is for you.This hands-on book shows you how to use:Scikit-Learn, an accessible framework that implements many algorithms efficiently and serves as a great machine learning entry pointTensorFlow, a more complex library for distributed numerical computation, ideal for training and running very large neural networksPractical code examples that you can apply without learning excessive machine learning theory or algorithm details

    Digital technologies—with hardware, software, and networks at their core—will in the near future diagnose diseases more accurately than doctors can, apply enormous data sets to transform retailing, and accomplish many tasks once considered uniquely human.In The Second Machine Age MIT’s Erik Brynjolfsson and Andrew McAfee—two thinkers at the forefront of their field—reveal the forces driving the reinvention of our lives and our economy. As the full impact of digital technologies is felt, we will realize immense bounty in the form of dazzling personal technology, advanced infrastructure, and near-boundless access to the cultural items that enrich our lives.Amid this bounty will also be wrenching change. Professions of all kinds—from lawyers to truck drivers—will be forever upended. Companies will be forced to transform or die. Recent economic indicators reflect this shift: fewer people are working, and wages are falling even as productivity and profits soar.Drawing on years of research and up-to-the-minute trends, Brynjolfsson and McAfee identify the best strategies for survival and offer a new path to prosperity. These include revamping education so that it prepares people for the next economy instead of the last one, designing new collaborations that pair brute processing power with human ingenuity, and embracing policies that make sense in a radically transformed landscape.A fundamentally optimistic book, The Second Machine Age alters how we think about issues of technological, societal, and economic progress.

    However, according to Hofstadter, the formal system that underlies all mental activity transcends the system that supports it. If life can grow out of the formal chemical substrate of the cell, if consciousness can emerge out of a formal system of firing neurons, then so too will computers attain human intelligence. Gödel, Escher, Bach is a wonderful exploration of fascinating ideas at the heart of cognitive science: meaning, reduction, recursion, and much more.

    Kai-Fu Lee—one of the world’s most respected experts on AI and China—reveals that China has suddenly caught up to the US at an astonishingly rapid and unexpected pace.In AI Superpowers, Kai-Fu Lee argues powerfully that because of these unprecedented developments in AI, dramatic changes will be happening much sooner than many of us expected. Indeed, as the US-Sino AI competition begins to heat up, Lee urges the US and China to both accept and to embrace the great responsibilities that come with significant technological power.Most experts already say that AI will have a devastating impact on blue-collar jobs. But Lee predicts that Chinese and American AI will have a strong impact on white-collar jobs as well. Is universal basic income the solution? In Lee’s opinion, probably not.  But he provides a clear description of which jobs will be affected and how soon, which jobs can be enhanced with AI, and most importantly, how we can provide solutions to some of the most profound changes in human history that are coming soon.

    At the center of this change are Apple and Google, two companies whose philosophies, leaders, and commercial acumen have steamrolled the competition. In the age of the Android and the iPad, these corporations are locked in a feud that will play out not just in the marketplace but in the courts and on screens around the world.     Fred Vogelstein has reported on this rivalry for more than a decade and has rare access to its major players. In Dogfight, he takes us into the offices and board rooms where company dogma translates into ruthless business; behind outsize personalities like Steve Jobs, Apple’s now-lionized CEO, and Eric Schmidt, Google’s executive chairman; and inside the deals, lawsuits, and allegations that mold the way we communicate. Apple and Google are poaching each other’s employees. They bid up the price of each other’s acquisitions for spite, and they forge alliances with major players like Facebook and Microsoft in pursuit of market dominance.     Dogfight reads like a novel: vivid nonfiction with never-before-heard details. This is more than a story about what devices will replace our phones and laptops. It’s about who will control the content on those devices and where that content will come from—about the future of media in Silicon Valley, New York, and Hollywood.

     Dan sheds light on the many misconceptions about what Kabbalah is and isn't--including its connections to magic, astronomy, alchemy, and numerology--and he illuminates the relationship between Kaballah and Christianity on the one hand and New Age religion on the other. The book provides fascinating historical background, ranging from the mystical groups that flourished in ancient Judaism in the East, and the medieval schools of Kabbalah in Northern Spain and Southern France, to the widening growth of Kabbalah through the school of Isaac Luria of Safed in the sixteenth century, to the most potent and influential modern Jewish religious movement, Hasidism, and its use of kabbalistic language in its preaching. The book examines the key ancient texts of this tradition, including the Sefer Yezira or "Book of Creation," The Book of Bahir, and the Zohar. Dan explains Midrash, the classical Jewish exegesis of scriptures, which assumes an infinity of meanings for every biblical verse, and he concludes with a brief survey of scholarship in the field and a list of books for further reading. Embraced by celebrities and integrated in many contemporary spiritual phenomena, Kabbalah has reaped a wealth of attention in the press. But many critics argue that the form of Kabbalah practiced in Hollywood is more New Age pabulum than authentic tradition. Can there be a positive role for the Kabbalah in the contemporary quest for spirituality? In Kabbalah, Joseph Dan debunks the myths surrounding modern Kabbalistic practice, offering an engaging and dependable account of this traditional Jewish religious phenomenon and its impact outside of Judaism.

    This book describes what schizophrenia is really like, how the illness progresses, and the treatments that have been applied. It also summarizes the most up-to-date knowledge available about the biological bases of this disorder. Finally it attempts to give some idea of what it is like to have schizophrenia and what this disorder tells us about the relationship between mind and brain.

    By presenting actual experiences and analyzing them as they are described, the author conveys the developmental thought processes employed and shows a style of thinking that leads to successful results is something that can be learned. Along with spectacular successes, the author also conveys how failures contributed to shaping the thought processes. Provides the reader with a style of thinking that will enhance a person's ability to function as a problem-solver of complex technical issues. Consists of a collection of stories about the author's participation in significant discoveries, relating how those discoveries came about and, most importantly, provides analysis about the thought processes and reasoning that took place as the author and his associates progressed through engineering problems.

    It is the basis for a new approach to artificial intelligence that aims to program computers to use example data or past experience to solve a given problem. In this volume in the MIT Press Essential Knowledge series, Ethem Alpayd�n offers a concise and accessible overview of the new AI. This expanded edition offers new material on such challenges facing machine learning as privacy, security, accountability, and bias. Alpayd�n, author of a popular textbook on machine learning, explains that as Big Data has gotten bigger, the theory of machine learning--the foundation of efforts to process that data into knowledge--has also advanced. He describes the evolution of the field, explains important learning algorithms, and presents example applications. He discusses the use of machine learning algorithms for pattern recognition; artificial neural networks inspired by the human brain; algorithms that learn associations between instances; and reinforcement learning, when an autonomous agent learns to take actions to maximize reward. In a new chapter, he considers transparency, explainability, and fairness, and the ethical and legal implications of making decisions based on data.

    But in this spirited Very Short Introduction, famed critic Terry Eagleton takes a serious if often amusing look at the question and offers his own surprising answer.Eagleton first examines how centuries of thinkers and writers--from Marx and Schopenhauer to Shakespeare, Sartre, and Beckett--have responded to the ultimate question of meaning. He suggests, however, that it is only in modern times that the question has become problematic. But instead of tackling it head-on, many of us cope with the feelings of meaninglessness in our lives by filling them with everything from football to sex, Kabbala, Scientology, New Age softheadedness, or fundamentalism. On the other hand, Eagleton notes, many educated people believe that life is an evolutionary accident that has no intrinsic meaning. If our lives have meaning, it is something with which we manage to invest them, not something with which they come ready made. Eagleton probes this view of meaning as a kind of private enterprise, and concludes that it fails to holds up. He argues instead that the meaning of life is not a solution to a problem, but a matter of living in a certain way. It is not metaphysical but ethical. It is not something separate from life, but what makes it worth living--that is, a certain quality, depth, abundance and intensity of life.Here then is a brilliant discussion of the problem of meaning by a leading thinker, who writes with a light and often irreverent touch, but with a very serious end in mind.About the Series: Combining authority with wit, accessibility, and style, Very Short Introductions offer an introduction to some of life's most interesting topics. Written by experts for the newcomer, they demonstrate the finest contemporary thinking about the central problems and issues in hundreds of key topics, from philosophy to Freud, quantum theory to Islam.

    This guide also helps you understand the many data-mining techniques in use today.Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.Understand how data science fits in your organization—and how you can use it for competitive advantageTreat data as a business asset that requires careful investment if you’re to gain real valueApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate wayLearn general concepts for actually extracting knowledge from dataApply data science principles when interviewing data science job candidates

    Kevin Passmore opens his book with a series of scenes from fascist life--a secret meeting of the Romanian Iron Guard; Mussolini meeting the king of Italy; a rally of Hungarian doctors calling for restrictions on the number of Jews entering the profession. He then looks at the paradoxes of fascism through its origins in the political and social crisis of the late nineteenth century, the history of fascist movements and regimes in Italy and Germany, and the fortunes of failed fascist movements in Romania, Hungary and Spain. He shows how fascism employs propaganda and popular culture to propagate itself and how it exported its ideas outside Europe, through Nazi and Spanish post-war escape routes to Latin America. The book concludes with a discussion of the recent revival of the extreme right in Austria, Italy, France, and Russia.

    How To is a guide to the third kind of approach. It's full of highly impractical advice for everything from landing a plane to digging a hole.Bestselling author and cartoonist Randall Munroe explains how to predict the weather by analyzing the pixels of your Facebook photos. He teaches you how to tell if you're a baby boomer or a 90's kid by measuring the radioactivity of your teeth. He offers tips for taking a selfie with a telescope, crossing a river by boiling it, and powering your house by destroying the fabric of space-time. And if you want to get rid of the book once you're done with it, he walks you through your options for proper disposal, including dissolving it in the ocean, converting it to a vapor, using tectonic plates to subduct it into the Earth's mantle, or launching it into the Sun.By exploring the most complicated ways to do simple tasks, Munroe doesn't just make things difficult for himself and his readers. As he did so brilliantly in What If?, Munroe invites us to explore the most absurd reaches of the possible. Full of clever infographics and amusing illustrations, How To is a delightfully mind-bending way to better understand the science and technology underlying the things we do every day.

    It tackles many questions, such as: What accounts for the perpetuation of ethnic and religious conflict in Ireland? Why has armedviolence proven so hard to control? Who are the major figures and issues in the conflict? Can we expect more Northern Irelands in the future?