Although companies of every kind have successfully implemented his original design ideas across hundreds of systems, these insights have never before appeared in print.Based on first principles in software engineering and a comprehensive set of matching tools and techniques, Löwy's methodology integrates system design and project design. First, he describes the primary area where many software architects fail and shows how to decompose a system into smaller building blocks or services, based on volatility. Next, he shows how to flow an effective project design from the system design; how to accurately calculate the project duration, cost, and risk; and how to devise multiple execution options.The method and principles in Righting Software apply regardless of your project and company size, technology, platform, or industry. Löwy starts the reader on a journey that addresses the critical challenges of software development today by righting software systems and projects as well as careers-and possibly the software industry as a whole. Software professionals, architects, project leads, or managers at any stage of their career will benefit greatly from this book, which provides guidance and knowledge that would otherwise take decades and many projects to acquire. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

    It is suitable for a one or two semester university course on AI, as well as for researchers in the field.

    In this lively book of essays, Stephen Wolfram takes the reader along on some of his most surprising and engaging intellectual adventures in science, technology, artificial intelligence and language design.

    We have put thousands of hours into the fourth edition of the book, writing and revising its material to include significant improvements and new material based on feedback from previous editions.

    Computers in Bangalore are locked away in dusty cabinets because teachers don't know what to do with them. Mobile phone apps meant to spread hygiene practices in Africa fail to improve health. Executives in Silicon Valley evangelize novel technologies at work even as they send their children to Waldorf schools that ban electronics. And four decades of incredible innovation in America have done nothing to turn the tide of rising poverty and inequality. Why then do we keep hoping that technology will solve our greatest social ills? In this incisive book, Toyama cures us of the manic rhetoric of digital utopians and reinvigorates us with a deeply people-centric view of social change. Contrasting the outlandish claims of tech zealots with stories of people like Patrick Awuah, a Microsoft millionaire who left his engineering job to open Ghana's first liberal arts university, and Tara Sreenivasa, a graduate of a remarkable South Indian school that takes impoverished children into the high-tech offices of Goldman Sachs and Mercedes-Benz, Geek Heresy is a heartwarming reminder that it's human wisdom, not machines, that move our world forward.

    Without machine learning, fraud detection, web search results, real-time ads on web pages, credit scoring, automation, and email spam filtering wouldn't be possible, and this is only showcasing just a few of its capabilities. Written by two data science experts, Machine Learning For Dummies offers a much-needed entry point for anyone looking to use machine learning to accomplish practical tasks.Covering the entry-level topics needed to get you familiar with the basic concepts of machine learning, this guide quickly helps you make sense of the programming languages and tools you need to turn machine learning-based tasks into a reality. Whether you're maddened by the math behind machine learning, apprehensive about AI, perplexed by preprocessing data--or anything in between--this guide makes it easier to understand and implement machine learning seamlessly.Grasp how day-to-day activities are powered by machine learning Learn to 'speak' certain languages, such as Python and R, to teach machines to perform pattern-oriented tasks and data analysis Learn to code in R using R Studio Find out how to code in Python using Anaconda Dive into this complete beginner's guide so you are armed with all you need to know about machine learning!

    Servers give sysadmins a incredible visibility into the network—once they know how to unlock it. Most sysadmins don’t need to understand window scaling, or the differences between IPv4 and IPv6 echo requests, or other intricacies of the TCP/IP protocols. You need only enough to deploy your own applications and get easy support from the network team.This book teaches you:•How modern networks really work•The essentials of TCP/IP•The next-generation protocol, IPv6•The right tools to diagnose network problems, and how to use them•Troubleshooting everything from the physical wire to DNS•How to see the traffic you send and receive•Connectivity testing•How to communicate with your network team to quickly resolve problemsA systems administrator doesn’t need to know the innards of TCP/IP, but knowing enough to diagnose your own network issues transforms a good sysadmin into a great one.

    This bestseller talks to readers at their level, explaining every aspect of how to get started and learn the C language quickly. Readers also find out where to learn more about C. This book includes tear-out reference card of C functions and statements, a hierarchy chart, and other valuable information. It uses special icons, notes, clues, warnings, and rewards to make understanding easier. And the clear and friendly style presumes no programming knowledge.

    In Pittsburgh, a child welfare agency uses a statistical model to try to predict which children might be future victims of abuse or neglect.Since the dawn of the digital age, decision-making in finance, employment, politics, health and human services has undergone revolutionary change. Today, automated systems—rather than humans—control which neighborhoods get policed, which families attain needed resources, and who is investigated for fraud. While we all live under this new regime of data, the most invasive and punitive systems are aimed at the poor.In Automating Inequality, Virginia Eubanks systematically investigates the impacts of data mining, policy algorithms, and predictive risk models on poor and working-class people in America. The book is full of heart-wrenching and eye-opening stories, from a woman in Indiana whose benefits are literally cut off as she lays dying to a family in Pennsylvania in daily fear of losing their daughter because they fit a certain statistical profile.The U.S. has always used its most cutting-edge science and technology to contain, investigate, discipline and punish the destitute. Like the county poorhouse and scientific charity before them, digital tracking and automated decision-making hide poverty from the middle-class public and give the nation the ethical distance it needs to make inhumane choices: which families get food and which starve, who has housing and who remains homeless, and which families are broken up by the state. In the process, they weaken democracy and betray our most cherished national values.This deeply researched and passionate book could not be more timely.Naomi Klein: "This book is downright scary."Ethan Zuckerman, MIT: "Should be required reading."Dorothy Roberts, author of Killing the Black Body: "A must-read for everyone concerned about modern tools of inequality in America."Astra Taylor, author of The People's Platform: "This is the single most important book about technology you will read this year."

    It sounds crazy, but it has become one of the most influential and hotly debated policy ideas of our time. Futurists, radicals, libertarians, socialists, union representatives, feminists, conservatives, Bernie supporters, development economists, child-care workers, welfare recipients, and politicians from India to Finland to Canada to Mexico--all are talking about UBI.In this sparkling and provocative book, economics writer Annie Lowrey looks at the global UBI movement. She travels to Kenya to see how a UBI is lifting the poorest people on earth out of destitution, India to see how inefficient government programs are failing the poor, South Korea to interrogate UBI's intellectual pedigree, and Silicon Valley to meet the tech titans financing UBI pilots in expectation of a world with advanced artificial intelligence and little need for human labor.Lowrey examines the potential of such a sweeping policy and the challenges the movement faces, among them contradictory aims, uncomfortable costs, and, most powerfully, the entrenched belief that no one should get something for nothing. She shows how this arcane policy offers not only a potential answer for our most intractable economic and social problems, but also a better foundation for our society in this age of turbulence and marvels.

    

    Healso discusses the social aspects of software and how free softwarecan create community and social justice.Given the current turmoil in copyright and patent laws, includingthe DMCA and proposed CBDTPA, these essays are more relevant thanever. Stallman tackles head-on the essential issues driving thecurrent changes in copyright law. He argues that for creativity toflourish, software must be free of inappropriate and overly-broadlegal constraints. Over the past twenty years his arguments andactions have changed the course of software history; this new book issure to impact the future of software and legal policies in the yearsto come.Lawrence Lessig, the author of two well-known books on similar topics,writes the introduction. He is a noted legal expert on copyright lawand a Stanford Law School professor.