In today’s economy, we have far too much dismay along with our amazement, and technology bears some of the blame. In this combination of memoir, business strategy guide, and call to action, Tim O'Reilly, Silicon Valley’s leading intellectual and the founder of O’Reilly Media, explores the upside and the potential downsides of today's WTF? technologies. What is the future when an increasing number of jobs can be performed by intelligent machines instead of people, or done only by people in partnership with those machines? What happens to our consumer based societies—to workers and to the companies that depend on their purchasing power? Is income inequality and unemployment an inevitable consequence of technological advancement, or are there paths to a better future? What will happen to business when technology-enabled networks and marketplaces are better at deploying talent than traditional companies? How should companies organize themselves to take advantage of these new tools? What’s the future of education when on-demand learning outperforms traditional institutions? How can individuals continue to adapt and retrain? Will the fundamental social safety nets of the developed world survive the transition, and if not, what will replace them? O'Reilly is "the man who can really can make a whole industry happen," according to Eric Schmidt, Executive Chairman of Alphabet (Google.) His genius over the past four decades has been to identify and to help shape our response to emerging technologies with world shaking potential—the World Wide Web, Open Source Software, Web 2.0, Open Government data, the Maker Movement, Big Data, and now AI. O’Reilly shares the techniques he's used at O’Reilly Media  to make sense of and predict past innovation waves and applies those same techniques to provide a framework for thinking about how today’s world-spanning platforms and networks, on-demand services, and artificial intelligence are changing the nature of business, education, government, financial markets, and the economy as a whole. He provides tools for understanding how all the parts of modern digital businesses work together to create marketplace advantage and customer value, and why ultimately, they cannot succeed unless their ecosystem succeeds along with them.The core of the book's call to action is an exhortation to businesses to DO MORE with technology rather than just using it to cut costs and enrich their shareholders. Robots are going to take our jobs, they say. O'Reilly replies, “Only if that’s what we ask them to do! Technology is the solution to human problems, and we won’t run out of work till we run out of problems." Entrepreneurs need to set their sights on how they can use big data, sensors, and AI to create amazing human experiences and the economy of the future, making us all richer in the same way the tools of the first industrial revolution did. Yes, technology can eliminate labor and make things cheaper, but at its best, we use it to do things that were previously unimaginable! What is our poverty of imagination? What are the entrepreneurial leaps that will allow us to use the technology of today to build a better future, not just a more efficient one? Whether technology brings the WTF? of wonder or the WTF? of dismay isn't inevitable. It's up to us!

    Mitchell covers the field of machine learning, the study of algorithms that allow computer programs to automatically improve through experience and that automatically infer general laws from specific data.

    As sociologist and network science pioneer Duncan Watts explains in this provocative book, the explanations that we give for the outcomes that we observe in life—explanation that seem obvious once we know the answer—are less useful than they seem.Drawing on the latest scientific research, along with a wealth of historical and contemporary examples, Watts shows how common sense reasoning and history conspire to mislead us into believing that we understand more about the world of human behavior than we do; and in turn, why attempts to predict, manage, or manipulate social and economic systems so often go awry.It seems obvious, for example, that people respond to incentives; yet policy makers and managers alike frequently fail to anticipate how people will respond to the incentives they create. Social trends often seem to have been driven by certain influential people; yet marketers have been unable to identify these “influencers” in advance. And although successful products or companies always seem in retrospect to have succeeded because of their unique qualities, predicting the qualities of the next hit product or hot company is notoriously difficult even for experienced professionals.Only by understanding how and when common sense fails, Watts argues, can we improve how we plan for the future, as well as understand the present—an argument that has important implications in politics, business, and marketing, as well as in science and everyday life.

    Can small artists still thrive in the Internet era? Can giant record labels avoid alienating their audiences? This is a book about the pitfalls and the opportunities that creative industries (and individuals) are confronting today — about how the old models have failed or found new footing, and about what might soon replace them. An essential read for anyone with a stake in the future of the arts, Information Doesn’t Want to Be Free offers a vivid guide to the ways creativity and the Internet interact today, and to what might be coming next.

     Neural networks are a key element of deep learning and artificial intelligence, which today is capable of some truly impressive feats. Yet too few really understand how neural networks actually work. This guide will take you on a fun and unhurried journey, starting from very simple ideas, and gradually building up an understanding of how neural networks work. You won't need any mathematics beyond secondary school, and an accessible introduction to calculus is also included. The ambition of this guide is to make neural networks as accessible as possible to as many readers as possible - there are enough texts for advanced readers already! You'll learn to code in Python and make your own neural network, teaching it to recognise human handwritten numbers, and performing as well as professionally developed networks. Part 1 is about ideas. We introduce the mathematical ideas underlying the neural networks, gently with lots of illustrations and examples. Part 2 is practical. We introduce the popular and easy to learn Python programming language, and gradually builds up a neural network which can learn to recognise human handwritten numbers, easily getting it to perform as well as networks made by professionals. Part 3 extends these ideas further. We push the performance of our neural network to an industry leading 98% using only simple ideas and code, test the network on your own handwriting, take a privileged peek inside the mysterious mind of a neural network, and even get it all working on a Raspberry Pi. All the code in this has been tested to work on a Raspberry Pi Zero.

    With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication.Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify "named entities" Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligenceThis book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful.

    In one hundred lean and incisive statements, he argues that we are essentially social creatures, and that we achieve our greatest aspirations when we work together—not as individuals. Yet today society is threatened by a vast antihuman infrastructure that undermines our ability to connect. Money, once a means of exchange, is now a means of exploitation; education, conceived as way to elevate the working class, has become another assembly line; and the internet has only further divided us into increasingly atomized and radicalized groups.Team Human delivers a call to arms. If we are to resist and survive these destructive forces, we must recognize that being human is a team sport. In Rushkoff’s own words: “Being social may be the whole point.” Harnessing wide-ranging research on human evolution, biology, and psychology, Rushkoff shows that when we work together we realize greater happiness, productivity, and peace. If we can find the others who understand this fundamental truth and reassert our humanity—together—we can make the world a better place to be human.

    Internet pioneer and renowned filmmaker Tiffany Shlain takes us on a provocative and entertaining journey through time and technology, introducing a strategy for living in our 24/7 world: turning off all screens for twenty-four hours each week. This practice, which she’s done for nearly a decade with her husband and kids, has completely changed their lives, giving them more time, productivity, connection, and presence. She and her family call it “Technology Shabbat.” Drawn from the ancient ritual of Shabbat, living 24/6 can work for anyone from any background. In this “useful and much-needed guide to turning the clock back to a less frazzled pre-Internet and -smartphone day” (Kirkus Reviews), Shlain shares her story, offers lessons she has learned, and provides a blueprint for how to do it yourself. Along the way, she delves into the neuroscience, philosophy, psychology, and history of a weekly day of rest across cultures, making the case for why we need to bring this ritual back. A compelling personal story and a fascinating, far-reaching examination of the complex world we’ve created, 24/6 is a call to regain “the essential dignity of being human in a digital age” (Douglas Rushkoff, author of Team Human).

    This book focuses on practical algorithms that have been used to solve key problems in data mining and which can be used on even the largest datasets. It begins with a discussion of the map-reduce framework, an important tool for parallelizing algorithms automatically. The authors explain the tricks of locality-sensitive hashing and stream processing algorithms for mining data that arrives too fast for exhaustive processing. The PageRank idea and related tricks for organizing the Web are covered next. Other chapters cover the problems of finding frequent itemsets and clustering. The final chapters cover two applications: recommendation systems and Web advertising, each vital in e-commerce. Written by two authorities in database and Web technologies, this book is essential reading for students and practitioners alike.

    We live in an age of winners and losers, where the odds are stacked in favour of the already fortunate. Stalled social mobility and entrenched inequality give the lie to the promise that "you can make it if you try". And the consequence is a brew of anger and frustration that has fuelled populist protest, with the triumph of Brexit and election of Donald Trump.Michael J. Sandel argues that to overcome the polarized politics of our time, we must rethink the attitudes toward success and failure that have accompanied globalisation and rising inequality. Sandel highlights the hubris a meritocracy generates among the winners and the harsh judgement it imposes on those left behind. He offers an alternative way of thinking about success - more attentive to the role of luck in human affairs, more conducive to an ethic of humility, and more hospitable to a politics of the common good.

    Acclaimed data scientist DJ Patil details a new approach to solving problems in Data Jujitsu.Learn how to use a problem's "weight" against itself to:Break down seemingly complex data problems into simplified partsUse alternative data analysis techniques to examine themUse human input, such as Mechanical Turk, and design tricks that enlist the help of your users to take short cuts around tough problemsLearn more about the problems before starting on the solutions—and use the findings to solve them, or determine whether the problems are worth solving at all.

    In the beginning was Josh Levine, an idealistic programming genius who dreamed of wresting control of the market from the big exchanges that, again and again, gave the giant institutions an advantage over the little guy. Levine created a computerized trading hub named Island where small traders swapped stocks, and over time his invention morphed into a global electronic stock market that sent trillions in capital through a vast jungle of fiber-optic cables. By then, the market that Levine had sought to fix had turned upside down, birthing secretive exchanges called dark pools and a new species of trading machines that could think, and that seemed, ominously, to be slipping the control of their human masters. Dark Pools is the fascinating story of how global markets have been hijacked by trading robots--many so self-directed that humans can't predict what they'll do next.

    Taking us on a journey through every fundamental field of science, as well as the history of civilization, art, moral values, and the theory of political institutions, Deutsch tracks how we form new explanations and drop bad ones, explaining the conditions under which progress—which he argues is potentially boundless—can and cannot happen. Hugely ambitious and highly original, The Beginning of Infinity explores and establishes deep connections between the laws of nature, the human condition, knowledge, and the possibility for progress.

    This is the America we believe in a nation of opportunity, constrained only by ability and effort. But during the last twenty-five years we have seen a disturbing opportunity gap emerge. Americans have always believed in equality of opportunity, the idea that all kids, regardless of their family background, should have a decent chance to improve their lot in life. Now, this central tenet of the American dream seems no longer true or at the least, much less true than it was. Robert Putnam about whom The Economist said, "His scholarship is wide-ranging, his intelligence luminous, his tone modest, his prose unpretentious and frequently funny," offers a personal but also authoritative look at this new American crisis. Putnam begins with his high school class of 1959 in Port Clinton, Ohio. By and large the vast majority of those students "our kids" went on to lives better than those of their parents. But their children and grandchildren have had harder lives amid diminishing prospects. Putnam tells the tale of lessening opportunity through poignant life stories of rich and poor kids from cities and suburbs across the country, drawing on a formidable body of research done especially for this book. Our Kids is a rare combination of individual testimony and rigorous evidence. Putnam provides a disturbing account of the American dream that should initiate a deep examination of the future of our country.

    Now he brings his insight into the workplace, in a book sure to change the shape of business for decades to come.In Working with Emotional Intelligence, Goleman reveals the skills that distinguish star performers in every field, from entry-level jobs to top executive positions. He shows that the single most important factor is not IQ, advanced degrees, or technical expertise, but the quality Goleman calls emotional intelligence. Self-awareness, self-confidence, and self-control; commitment and integrity; the ability to communicate and influence, to initiate and accept change--these competencies are at a premium in today's job market. The higher up the leadership ladder you go, the more vital these skills become, often influencing who is hired or fired, passed over or promoted. As Goleman shows, we all possess the potential to improve our emotional intelligence--at any stage in our career. He provides guidelines for cultivating these capabilities--and also explains why corporate training must change if it is to be effective.