They can navigate more data than a doctor or lawyer and act with greater precision. For many years we’ve taken solace in the notion that they can’t create. But now that algorithms can learn and adapt, does the future of creativity belong to machines, too?It is hard to imagine a better guide to the bewildering world of artificial intelligence than Marcus du Sautoy, a celebrated Oxford mathematician whose work on symmetry in the ninth dimension has taken him to the vertiginous edge of mathematical understanding. In The Creativity Code he considers what machine learning means for the future of creativity. The Pollockizer can produce drip paintings in the style of Jackson Pollock, Botnik spins off fanciful (if improbable) scenes inspired by J. K. Rowling, and the music-composing algorithm Emmy managed to fool a panel of Bach experts. But do these programs just mimic, or do they have what it takes to create? Du Sautoy argues that to answer this question, we need to understand how the algorithms that drive them work―and this brings him back to his own subject of mathematics, with its puzzles, constraints, and enticing possibilities.While most recent books on AI focus on the future of work, The Creativity Code moves us to the forefront of creative new technologies and offers a more positive and unexpected vision of our future cohabitation with machines. It challenges us to reconsider what it means to be human―and to crack the creativity code.

    The gift is a perfect example of what Mauss calls a total social phenomenon, since it involves legal, economic, moral, religious, aesthetic, and other dimensions. He sees the gift exchange as related to individuals and groups as much as to the objects themselves, and his analysis calls into question the social conventions and economic systems that had been taken for granted for so many years. In a modern translation, introduced by distinguished anthropologist Mary Douglas, The Gift is essential reading for students of social anthropology and sociology.

    But developing these systems brings its own set of headaches. With lots of examples and practical advice, this book takes a holistic view of the topics that system architects and administrators must consider when building, managing, and evolving microservice architectures.Microservice technologies are moving quickly. Author Sam Newman provides you with a firm grounding in the concepts while diving into current solutions for modeling, integrating, testing, deploying, and monitoring your own autonomous services. You'll follow a fictional company throughout the book to learn how building a microservice architecture affects a single domain.Discover how microservices allow you to align your system design with your organization's goalsLearn options for integrating a service with the rest of your systemTake an incremental approach when splitting monolithic codebasesDeploy individual microservices through continuous integrationExamine the complexities of testing and monitoring distributed servicesManage security with user-to-service and service-to-service modelsUnderstand the challenges of scaling microservice architectures

    Offering bold new ways of conceiving the present, Lauren Berlant describes the cruel optimism that has prevailed since the 1980s, as the social-democratic promise of the postwar period in the United States and Europe has retracted. People have remained attached to unachievable fantasies of the good life—with its promises of upward mobility, job security, political and social equality, and durable intimacy—despite evidence that liberal-capitalist societies can no longer be counted on to provide opportunities for individuals to make their lives “add up to something.”Arguing that the historical present is perceived affectively before it is understood in any other way, Berlant traces affective and aesthetic responses to the dramas of adjustment that unfold amid talk of precarity, contingency, and crisis. She suggests that our stretched-out present is characterized by new modes of temporality, and she explains why trauma theory—with its focus on reactions to the exceptional event that shatters the ordinary—is not useful for understanding the ways that people adjust over time, once crisis itself has become ordinary. Cruel Optimism is a remarkable affective history of the present.

    Huge commercial databases track your finances and sell that information to anyone willing to pay. Host sites on the World Wide Web record every page you view, and “smart” toll roads know where you drive. Every day, new technology nibbles at our privacy. Does that make you nervous?David Brin is worried, but not just about privacy. He fears that society will overreact to these technologies by restricting the flow of information, frantically enforcing a reign of secrecy. Such measures, he warns, won’t really preserve our privacy. Governments, the wealthy, criminals, and the techno-elite will still find ways to watch us. But we’ll have fewer ways to watch them. We’ll lose the key to a free society: accountability.The Transparent Society is a call for “reciprocal transparency.” If police cameras watch us, shouldn’t we be able to watch police stations? If credit bureaus sell our data, shouldn't we know who buys it? Rather than cling to an illusion of anonymity - a historical anomaly, given our origins in close-knit villages - we should focus on guarding the most important forms of privacy and preserving mutual accountability. The biggest threat to our freedom, Brin warns, is that surveillance technology will be used by too few people, now by too many.A society of glass houses may seem too fragile. Fearing technology-aided crime, governments seek to restrict online anonymity; fearing technology-aided tyranny, citizens call for encrypting all data. Brins shows how, contrary to both approaches, windows offer us much better protection than walls; after all, the strongest deterrent against snooping has always been the fear of being spotted. Furthermore, Brin argues, Western culture now encourages eccentricity - we’re programmed to rebel! That gives our society a natural protection against error and wrong-doing, like a body’s immune system. But “social T-cells” need openness to spot trouble and get the word out.The Transparent Society is full of such provocative and far-reaching analysis. The inescapable rush of technology is forcing us to make new choices about how we want to live. This daring book reminds us that an open society is more robust and flexible than one where secrecy reigns. In an era of gnat-sized cameras, universal databases, and clothes-penetrating radar, it will be more vital than ever for us to be able to watch the watchers. With reciprocal transparency we can detect dangers early and expose wrong-doers. We can gauge the credibility of pundits and politicians. We can share technological advances and news. But all of these benefits depend on the free, two-way flow of information.

    What began more than sixty years ago as a modest proposal that a mathematician and an economist write a short paper together blossomed, in 1944, when Princeton University Press published Theory of Games and Economic Behavior. In it, John von Neumann and Oskar Morgenstern conceived a groundbreaking mathematical theory of economic and social organization, based on a theory of games of strategy. Not only would this revolutionize economics, but the entirely new field of scientific inquiry it yielded--game theory--has since been widely used to analyze a host of real-world phenomena from arms races to optimal policy choices of presidential candidates, from vaccination policy to major league baseball salary negotiations. And it is today established throughout both the social sciences and a wide range of other sciences.This sixtieth anniversary edition includes not only the original text but also an introduction by Harold Kuhn, an afterword by Ariel Rubinstein, and reviews and articles on the book that appeared at the time of its original publication in the New York Times, tthe American Economic Review, and a variety of other publications. Together, these writings provide readers a matchless opportunity to more fully appreciate a work whose influence will yet resound for generations to come.

    Open Source has grabbed the computer industry's attention. Netscape has opened the source code to Mozilla; IBM supports Apache; major database vendors haved ported their products to Linux. As enterprises realize the power of the open-source development model, Open Source is becoming a viable mainstream alternative to commercial software.Now in Open Sources, leaders of Open Source come together for the first time to discuss the new vision of the software industry they have created. The essays in this volume offer insight into how the Open Source movement works, why it succeeds, and where it is going.For programmers who have labored on open-source projects, Open Sources is the new gospel: a powerful vision from the movement's spiritual leaders. For businesses integrating open-source software into their enterprise, Open Sources reveals the mysteries of how open development builds better software, and how businesses can leverage freely available software for a competitive business advantage.The contributors here have been the leaders in the open-source arena:Brian Behlendorf (Apache) Kirk McKusick (Berkeley Unix) Tim O'Reilly (Publisher, O'Reilly & Associates) Bruce Perens (Debian Project, Open Source Initiative) Tom Paquin and Jim Hamerly (mozilla.org, Netscape) Eric Raymond (Open Source Initiative) Richard Stallman (GNU, Free Software Foundation, Emacs) Michael Tiemann (Cygnus Solutions) Linus Torvalds (Linux) Paul Vixie (Bind) Larry Wall (Perl) This book explains why the majority of the Internet's servers use open- source technologies for everything from the operating system to Web serving and email. Key technology products developed with open-source software have overtaken and surpassed the commercial efforts of billion dollar companies like Microsoft and IBM to dominate software markets. Learn the inside story of what led Netscape to decide to release its source code using the open-source mode. Learn how Cygnus Solutions builds the world's best compilers by sharing the source code. Learn why venture capitalists are eagerly watching Red Hat Software, a company that gives its key product -- Linux -- away.For the first time in print, this book presents the story of the open- source phenomenon told by the people who created this movement.Open Sources will bring you into the world of free software and show you the revolution.

    In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases

    Guns, which lead to so much death, work exactly as they’re designed to work. And every time we “improve” their design, they get better at killing. Facebook’s privacy settings, which have outed gay teens to their conservative parents, are working exactly as designed. Their “real names” iniative, which makes it easier for stalkers to re-find their victims, is working exactly as designed. Twitter’s toxicity and lack of civil discourse is working exactly as it’s designed to work.The world is working exactly as designed. And it’s not working very well. Which means we need to do a better job of designing it. Design is a craft with an amazing amount of power. The power to choose. The power to influence. As designers, we need to see ourselves as gatekeepers of what we are bringing into the world, and what we choose not to bring into the world. Design is a craft with responsibility. The responsibility to help create a better world for all.Design is also a craft with a lot of blood on its hands. Every cigarette ad is on us. Every gun is on us. Every ballot that a voter cannot understand is on us. Every time social network’s interface allows a stalker to find their victim, that’s on us. The monsters we unleash into the world will carry your name.This book will make you see that design is a political act. What we choose to design is a political act. Who we choose to work for is a political act. Who we choose to work with is a political act. And, most importantly, the people we’ve excluded from these decisions is the biggest (and stupidest) political act we’ve made as a society.If you’re a designer, this book might make you angry. It should make you angry. But it will also give you the tools you need to make better decisions. You will learn how to evaluate the potential benefits and harm of what you’re working on. You’ll learn how to present your concerns. You’ll learn the importance of building and working with diverse teams who can approach problems from multiple points-of-view. You’ll learn how to make a case using data and good storytelling. You’ll learn to say NO in a way that’ll make people listen. But mostly, this book will fill you with the confidence to do the job the way you always wanted to be able to do it. This book will help you understand your responsibilities.

    Today, twenty million people worldwide are surfing the Net. Where Wizards Stay Up Late is the exciting story of the pioneers responsible for creating the most talked about, most influential, and most far-reaching communications breakthrough since the invention of the telephone. In the 1960's, when computers where regarded as mere giant calculators, J.C.R. Licklider at MIT saw them as the ultimate communications devices. With Defense Department funds, he and a band of visionary computer whizzes began work on a nationwide, interlocking network of computers. Taking readers behind the scenes, Where Wizards Stay Up Late captures the hard work, genius, and happy accidents of their daring, stunningly successful venture.

    With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.

    In its sweeping survey of the history of Internet search technologies, its gossip about and analysis of Google, and its speculation on the larger cultural implications of a Web-connected world, it will likely receive attention from a variety of businesspeople, technology futurists, journalists, and interested observers of mid-2000s zeitgeist. This ambitious book comes with a strong pedigree. Author John Battelle was a founder of The Industry Standard and then one of the original editors of Wired, two magazines which helped shape our early perceptions of the wild world of the Internet. Battelle clearly drew from his experience and contacts in writing The Search. In addition to the sure-handed historical perspective and easy familiarity with such dot-com stalwarts as AltaVista, Lycos, and Excite, he speckles his narrative with conversational asides from a cast of fascinating characters, such Google's founders, Larry Page and Sergey Brin; Yahoo's, Jerry Yang and David Filo; key executives at Microsoft and different VC firms on the famed Sandhill road; and numerous other insiders, particularly at the company which currently sits atop the search world, Google. The Search is not exactly the corporate history of Google. At the book's outset, Battelle specifically indicates his desire to understand what he calls the cultural anthropology of search, and to analyze search engines' current role as the "database of our intentions"--the repository of humanity's curiosity, exploration, and expressed desires. Interesting though that beginning is, though, Battelle's story really picks up speed when he starts dishing inside scoop on the darling business story of the decade, Google. To Battelle's credit, though, he doesn't stop just with historical retrospective: the final part of his book focuses on the potential future directions of Google and its products' development. In what Battelle himself acknowledges might just be a "digital fantasy train", he describes the possibility that Google will become the centralizing platform for our entire lives and quotes one early employee on the weightiness of Google's potential impact: "Sometimes I feel like I am on a bridge, twenty thousand feet up in the air. If I look down I'm afraid I'll fall. I don't feel like I can think about all the implications." Some will shrug at such words; after all, similar hype has accompanied other technologies and other companies before. Many others, though, will search Battelle's story for meaning--and fast. --Peter Han

    Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures