In The Master Algorithm, Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible.

    This comprehensive work covers both statistical and symbolic approaches to language processing; it shows how they can be applied to important tasks such as speech recognition, spelling and grammar correction, information extraction, search engines, machine translation, and the creation of spoken-language dialog agents. The following distinguishing features make the text both an introduction to the field and an advanced reference guide.- UNIFIED AND COMPREHENSIVE COVERAGE OF THE FIELDCovers the fundamental algorithms of each field, whether proposed for spoken or written language, whether logical or statistical in origin.- EMPHASIS ON WEB AND OTHER PRACTICAL APPLICATIONSGives readers an understanding of how language-related algorithms can be applied to important real-world problems.- EMPHASIS ON SCIENTIFIC EVALUATIONOffers a description of how systems are evaluated with each problem domain.- EMPERICIST/STATISTICAL/MACHINE LEARNING APPROACHES TO LANGUAGE PROCESSINGCovers all the new statistical approaches, while still completely covering the earlier more structured and rule-based methods.

    It is one of the fastest growing companies in history, an essential part of the social life not only of teenagers but hundreds of millions of adults worldwide. As Facebook spreads around the globe, it creates surprising effects—even becoming instrumental in political protests from Colombia to Iran. Veteran technology reporter David Kirkpatrick had the full cooperation of Facebook’s key executives in researching this fascinating history of the company and its impact on our lives. Kirkpatrick tells us how Facebook was created, why it has flourished, and where it is going next. He chronicles its successes and missteps, and gives readers the most complete assessment anywhere of founder and CEO Mark Zuckerberg, the central figure in the company’s remarkable ascent. This is the Facebook story that can be found nowhere else. How did a nineteen-year-old Harvard student create a company that has transformed the Internet and how did he grow it to its current enormous size? Kirkpatrick shows how Zuckerberg steadfastly refused to compromise his vision, insistently focusing on growth over profits and preaching that Facebook must dominate (his word) communication on the Internet. In the process, he and a small group of key executives have created a company that has changed social life in the United States and elsewhere, a company that has become a ubiquitous presence in marketing, altering politics, business, and even our sense of our own identity. This is the Facebook Effect.

    It is the technology behind photo tagging systems at Facebook and Google, self-driving cars, speech recognition systems on your smartphone, and much more.In particular, Deep learning excels at solving machine perception problems: understanding the content of image data, video data, or sound data. Here's a simple example: say you have a large collection of images, and that you want tags associated with each image, for example, "dog," "cat," etc. Deep learning can allow you to create a system that understands how to map such tags to images, learning only from examples. This system can then be applied to new images, automating the task of photo tagging. A deep learning model only has to be fed examples of a task to start generating useful results on new data.

    Douglas Hubbard helps us create a path to know the answer to almost any question in business, in science, or in life . . . Hubbard helps us by showing us that when we seek metrics to solve problems, we are really trying to know something better than we know it now. How to Measure Anything provides just the tools most of us need to measure anything better, to gain that insight, to make progress, and to succeed." -Peter Tippett, PhD, M.D. Chief Technology Officer at CyberTrust and inventor of the first antivirus software "Doug Hubbard has provided an easy-to-read, demystifying explanation of how managers can inform themselves to make less risky, more profitable business decisions. We encourage our clients to try his powerful, practical techniques." -Peter Schay EVP and COO of The Advisory Council "As a reader you soon realize that actually everything can be measured while learning how to measure only what matters. This book cuts through conventional cliches and business rhetoric and offers practical steps to using measurements as a tool for better decision making. Hubbard bridges the gaps to make college statistics relevant and valuable for business decisions." -Ray Gilbert EVP Lucent "This book is remarkable in its range of measurement applications and its clarity of style. A must-read for every professional who has ever exclaimed, 'Sure, that concept is important, but can we measure it?'" -Dr. Jack Stenner Cofounder and CEO of MetraMetrics, Inc.

    It cuts through the nonsense about how 'free' and 'democratic' networks supposedly are, and it offers a rich analysis of how network protocols create a new kind of control. Essential reading for all theorists, artists, activists, techheads, and hackers of the Net.” —McKenzie Wark, author of A Hacker ManifestoThe network has become the core organizational structure for postmodern politics, culture, and life, replacing the modern era’s hierarchical systems. From peer-to-peer file sharing and massive multiplayer online games to contagion vectors of digital or biological viruses and global affiliations of terrorist organizations, the network form has become so invasive that nearly every aspect of contemporary society can be located within it.Borrowing their title from the hacker term for a program that takes advantage of a flaw in a network system, Alexander R. Galloway and Eugene Thacker challenge the widespread assumption that networks are inherently egalitarian. Instead, they contend that there exist new modes of control entirely native to networks, modes that are at once highly centralized and dispersed, corporate and subversive.In this provocative book-length essay, Galloway and Thacker argue that a whole new topology must be invented to resist and reshape the network form, one that is as asymmetrical in relationship to networks as the network is in relation to hierarchy.Alexander R. Galloway is associate professor of culture and communications at New York University and the author of Gaming: Essays on Algorithmic Culture (Minnesota, 2006) and Protocol: How Control Exists after Decentralization.Eugene Thacker is associate professor of new media at the Georgia Institute of Technology and the author of Biomedia (Minnesota, 2004) and The Global Genome: Biotechnology, Politics, and Culture.

    If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination.You'll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Muller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book.With this book, you'll learn:Fundamental concepts and applications of machine learningAdvantages and shortcomings of widely used machine learning algorithmsHow to represent data processed by machine learning, including which data aspects to focus onAdvanced methods for model evaluation and parameter tuningThe concept of pipelines for chaining models and encapsulating your workflowMethods for working with text data, including text-specific processing techniquesSuggestions for improving your machine learning and data science skills

    If pre-industrial societies were held together by common values, sentiments, and norms, equally shared by all, what holds modern societies, with their complex division of labor and non-cohesive social structure, together? What did this new social order mean for the autonomy of the individual? Durkheim argued that class conflict is not inherent in a capitalist society, as Marx contended, but that the unfettered growth of state power would lead to the extinction of individuality. Only in a free society that promotes voluntary bonds between its members, Durkheim suggested, can individuality prosper.In this new edition, the first since 1984, world-renowned Durkheim scholar Steven Lukes revisits and revises the original translation to enhance clarity, accuracy, and fluency for the contemporary reader. Lukes also highlights Durkheim’s arguments by putting them into historical context with a timeline of important information. For students and scholars, this edition of The Division of Labor is essential reading and key to understanding the relevance of Durkheim’s ideas today.

    Why did work become so miserable? Who is responsible? And does any company have a model for doing it right?For two years, Lyons ventured in search of answers. From the innovation-crazed headquarters of the Ford Motor Company in Detroit, to a cult-like "Holocracy" workshop in San Francisco, and to corporate trainers who specialize in ... Legos, Lyons immersed himself in the often half-baked and frequently lucrative world of what passes for management science today. He shows how new tools, workplace practices, and business models championed by tech's empathy-impaired power brokers have shattered the social contract that once existed between companies and their employees. These dystopian beliefs--often masked by pithy slogans like "We're a Team, Not a Family"--have dire consequences: millions of workers who are subject to constant change, dehumanizing technologies--even health risks. A few companies, however, get it right. With Lab Rats, Lyons makes a passionate plea for business leaders to understand this dangerous transformation, showing how profit and happy employees can indeed coexist.

    If we don't candidly answer the pertinent questions, we will only paint a false picture.We are standing at a crucial and pivotal point in history. It's time for diversity in AI. This unprecedented technology will affect society as a whole and we need individuals from diverse disciplines and backgrounds to join the discussion. The issues surrounding AI can't be left to a small group of scientists, technologists or business executives to address. Our future and our children's future are at stake.More than ever, we need leaders who will stand on integrity and who will put people first.Do you want to take a glimpse into the future of leadership? The Future of Leadership: Rise of Automation, Robotics and Artificial Intelligence offers the most comprehensive view of what is taking place in the world of AI and emerging technologies, and gives valuable insights that will allow you to successfully navigate the tsunami of technology that is coming our way.

     We are living in a time of deep divisions. Americans are sorting themselves along racial, religious, and cultural lines, leading to a level of polarization that the country hasn't seen since the Civil War. Pundits and politicians are calling for us to come together, to find common purpose. But how, exactly, can this be done?In Palaces for the People, Eric Klinenberg suggests a way forward. He believes that the future of democratic societies rests not simply on shared values but on shared spaces: the libraries, childcare centers, bookstores, churches, synagogues, and parks where crucial, sometimes life-saving connections, are formed. These are places where people gather and linger, making friends across group lines and strengthening the entire community. Klinenberg calls this the "social infrastructure" When it is strong, neighborhoods flourish; when it is neglected, as it has been in recent years, families and individuals must fend for themselves.Klinenberg takes us around the globe--from a floating school in Bangladesh to an arts incubator in Chicago, from a soccer pitch in Queens to an evangelical church in Houston--to show how social infrastructure is helping to solve some of our most pressing challenges: isolation, crime, education, addiction, political polarization, and even climate change.Richly reported, elegantly written, and ultimately uplifting, Palaces for the People urges us to acknowledge the crucial role these spaces play in civic life. Our social infrastructure could be the key to bridging our seemingly unbridgeable divides--and safeguarding democracy.

    In this witty, often terrifying work of cultural criticism, the author of Amusing Ourselves to Death chronicles our transformation into a Technopoly: a society that no longer merely uses technology as a support system but instead is shaped by it--with radical consequences for the meanings of politics, art, education, intelligence, and truth.

    In nearly every moment of our waking lives, we face a barrage of messaging, advertising enticements, branding, sponsored social media, and other efforts to harvest our attention. Few moments or spaces of our day remain uncultivated by the "attention merchants," contributing to the distracted, unfocused tenor of our times. Tim Wu argues that this condition is not simply the byproduct of recent technological innovations but the result of more than a century's growth and expansion in the industries that feed on human attention. From the pre-Madison Avenue birth of advertising to the explosion of the mobile web; from AOL and the invention of email to the attention monopolies of Google and Facebook; from Ed Sullivan to celebritypower brandslike Oprah Winfrey, Kim Kardashian and Donald Trump, the basic business model of "attention merchants" has never changed: free diversion in exchange for a moment of your consideration, sold in turn to the highest-bidding advertiser. Wu describes the revolts that have risen against the relentless siege of our awareness, from the remote control to the creation of public broadcasting to Apple's ad-blocking OS. But he makes clear that attention merchants are always growing new heads, even as their means of getting inside our heads are changing our very nature--cognitive, social, political and otherwise--in ways unimaginable even a generation ago.

    As society stands on the cusp of unprecedented change, Jerry Kaplan unpacks the latest advances in robotics, machine learning, and perception powering systems that rival or exceed human capabilities. Driverless cars, robotic helpers, and intelligent agents that promote our interests have the potential to usher in a new age of affluence and leisure — but as Kaplan warns, the transition may be protracted and brutal unless we address the two great scourges of the modern developed world: volatile labor markets and income inequality. He proposes innovative, free-market adjustments to our economic system and social policies to avoid an extended period of social turmoil. His timely and accessible analysis of the promise and perils of artificial intelligence is a must-read for business leaders and policy makers on both sides of the aisle.

    This might seem uncontroversial, but it flies in the face of a tech sector long obsessed with rapid growth and sometimes on disruption as an end in itself. Now, though, we have reached an inflection point: Silicon Valley has moved fast and it has broken things. A new understanding has emerged that companies that create technology must accept greater responsibility for the future. And governments will need to regulate technology by moving faster and catching up with the pace of innovation that is impacting our communities and changing the world.In Tools and Weapons, Brad Smith takes us into the cockpit of one of the world's largest and most powerful tech companies as it finds itself in the middle of some of the thorniest emerging issues of our time. These are challenges that come with no preexisting playbook, including privacy, cybercrime and cyberwar, social media, the moral conundrums of AI, big tech's relationship to inequality and the challenges for democracy, far and near. While in no way a self-glorifying "Microsoft memoir," the book opens up the curtain remarkably wide onto some of the company's most crucial recent decision points, as it strives to protect the hopes technology offers against the very real threats it also presents. Every tool can be a weapon in the wrong person's hands, and companies are being challenged in entirely new ways to embrace the totality of their responsibilities. We have moved from a world in which Silicon Valley could take no prisoners to one in which tech companies and governments must work together to address the challenges and adapt to the changes technology has unleashed. There are huge ramifications to be thought through, and Brad Smith provides a marvelous and urgently necessary contribution to that effort.