By 1974, the British computer industry was all but extinct. What happened in the intervening thirty years holds lessons for all postindustrial superpowers. As Britain struggled to use technology to retain its global power, the nation's inability to manage its technical labor force hobbled its transition into the information age.In Programmed Inequality, Marie Hicks explores the story of labor feminization and gendered technocracy that undercut British efforts to computerize. That failure sprang from the government's systematic neglect of its largest trained technical workforce simply because they were women. Women were a hidden engine of growth in high technology from World War II to the 1960s. As computing experienced a gender flip, becoming male-identified in the 1960s and 1970s, labor problems grew into structural ones and gender discrimination caused the nation's largest computer user -- the civil service and sprawling public sector -- to make decisions that were disastrous for the British computer industry and the nation as a whole.Drawing on recently opened government files, personal interviews, and the archives of major British computer companies, Programmed Inequality takes aim at the fiction of technological meritocracy. Hicks explains why, even today, possessing technical skill is not enough to ensure that women will rise to the top in science and technology fields. Programmed Inequality shows how the disappearance of women from the field had grave macroeconomic consequences for Britain, and why the United States risks repeating those errors in the twenty-first century."

    Today, nine out of ten Americans live in places at significant risk of earthquakes, hurricanes, tornadoes, terrorism, or other disasters. Tomorrow, some of us will have to make split-second choices to save ourselves and our families. How will we react? What will it feel like? Will we be heroes or victims? Will our upbringing, our gender, our personality–anything we’ve ever learned, thought, or dreamed of–ultimately matter?    Amanda Ripley, an award-winning journalist for Time magazine who has covered some of the most devastating disasters of our age, set out to discover what lies beyond fear and speculation. In this magnificent work of investigative journalism, Ripley retraces the human response to some of history’s epic disasters, from the explosion of the Mont Blanc munitions ship in 1917–one of the biggest explosions before the invention of the atomic bomb–to a plane crash in England in 1985 that mystified investigators for years, to the journeys of the 15,000 people who found their way out of the World Trade Center on September 11, 2001. Then, to understand the science behind the stories, Ripley turns to leading brain scientists, trauma psychologists, and other disaster experts, formal and informal, from a Holocaust survivor who studies heroism to a master gunfighter who learned to overcome the effects of extreme fear. Finally, Ripley steps into the dark corners of her own imagination, having her brain examined by military researchers and experiencing through realistic simulations what it might be like to survive a plane crash into the ocean or to escape a raging fire.     Ripley comes back with precious wisdom about the surprising humanity of crowds, the elegance of the brain’s fear circuits, and the stunning inadequacy of many of our evolutionary responses. Most unexpectedly, she discovers the brain’s ability to do much, much better, with just a little help.The Unthinkable escorts us into the bleakest regions of our nightmares, flicks on a flashlight, and takes a steady look around. Then it leads us home, smarter and stronger than we were before.

    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.

    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.

    You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet.Python is an easy to use and easy to learn programming language that is freely available on Macintosh, Windows, or Linux computers. So once you learn Python you can use it for the rest of your career without needing to purchase any software.This book uses the Python 3 language. The earlier Python 2 version of this book is titled "Python for Informatics: Exploring Information".

     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.

    Peter Flach's clear, example-based approach begins by discussing how a spam filter works, which gives an immediate introduction to machine learning in action, with a minimum of technical fuss. Flach provides case studies of increasing complexity and variety with well-chosen examples and illustrations throughout. He covers a wide range of logical, geometric and statistical models and state-of-the-art topics such as matrix factorisation and ROC analysis. Particular attention is paid to the central role played by features. The use of established terminology is balanced with the introduction of new and useful concepts, and summaries of relevant background material are provided with pointers for revision if necessary. These features ensure Machine Learning will set a new standard as an introductory textbook.

    But as anyone who has ever opened up a spreadsheet packed with seemingly infinite lines of data knows, numbers aren't enough: we need to know how to make those numbers talk. In The Model Thinker, social scientist Scott E. Page shows us the mathematical, statistical, and computational models—from linear regression to random walks and far beyond—that can turn anyone into a genius. At the core of the book is Page's "many-model paradigm," which shows the reader how to apply multiple models to organize the data, leading to wiser choices, more accurate predictions, and more robust designs. The Model Thinker provides a toolkit for business people, students, scientists, pollsters, and bloggers to make them better, clearer thinkers, able to leverage data and information to their advantage.

    It is the Second Coming and the Apocalypse at the same time: Good AI versus evil AI." --John BrockmanMore than sixty years ago, mathematician-philosopher Norbert Wiener published a book on the place of machines in society that ended with a warning: "we shall never receive the right answers to our questions unless we ask the right questions.... The hour is very late, and the choice of good and evil knocks at our door."In the wake of advances in unsupervised, self-improving machine learning, a small but influential community of thinkers is considering Wiener's words again. In Possible Minds, John Brockman gathers their disparate visions of where AI might be taking us.The fruit of the long history of Brockman's profound engagement with the most important scientific minds who have been thinking about AI--from Alison Gopnik and David Deutsch to Frank Wilczek and Stephen Wolfram--Possible Minds is an ideal introduction to the landscape of crucial issues AI presents. The collision between opposing perspectives is salutary and exhilarating; some of these figures, such as computer scientist Stuart Russell, Skype co-founder Jaan Tallinn, and physicist Max Tegmark, are deeply concerned with the threat of AI, including the existential one, while others, notably robotics entrepreneur Rodney Brooks, philosopher Daniel Dennett, and bestselling author Steven Pinker, have a very different view. Serious, searching and authoritative, Possible Minds lays out the intellectual landscape of one of the most important topics of our time.

    But how do we stand up for those values in our turbulent world? The Person You Mean to Be is the smart, "semi-bold" person’s guide to fighting for what you believe in.Dolly reveals the surprising causes of inequality, grounded in the "psychology of good people". Using her research findings in unconscious bias as well as work across psychology, sociology, economics, political science, and other disciplines, she offers practical tools to respectfully and effectively talk politics with family, to be a better colleague to people who don’t look like you, and to avoid being a well-intentioned barrier to equality. Being the person we mean to be starts with a look at ourselves.She argues that the only way to be on the right side of history is to be a good-ish— rather than good—person. Good-ish people are always growing. Second, she helps you find your "ordinary privilege"—the part of your everyday identity you take for granted, such as race for a white person, sexual orientation for a straight person, gender for a man, or education for a college graduate. This part of your identity may bring blind spots, but it is your best tool for influencing change. Third, Dolly introduces the psychological reasons that make it hard for us to see the bias in and around us. She leads you from willful ignorance to willful awareness. Finally, she guides you on how, when, and whom, to engage (and not engage) in your workplaces, homes, and communities. Her science-based approach is a method any of us can put to use in all parts of our life.Whether you are a long-time activist or new to the fight, you can start from where you are. Through the compelling stories Dolly shares and the surprising science she reports, Dolly guides each of us closer to being the person we mean to be.

    Republished in book form shortly thereafter, it has since gone through four hardcover and sixteen paperback printings. It is a revolutionary work, astounding in its foresight and contemporaneity. The University of Illinois Press is pleased and honored to issue this commemorative reprinting of a classic.

    According to Chomsky, "propaganda is to democracy as the bludgeon is to a totalitarian state," and the mass media is the primary vehicle for delivering propaganda in the United States. From an examination of how Woodrow Wilson’s Creel Commission "succeeded, within six months, in turning a pacifist population into a hysterical, war-mongering population," to Bush Sr.'s war on Iraq, Chomsky examines how the mass media and public relations industries have been used as propaganda to generate public support for going to war. Chomsky further touches on how the modern public relations industry has been influenced by Walter Lippmann’s theory of "spectator democracy," in which the public is seen as a "bewildered herd" that needs to be directed, not empowered; and how the public relations industry in the United States focuses on "controlling the public mind," and not on informing it. Media Control is an invaluable primer on the secret workings of disinformation in democratic societies.From the Audiobook Download edition.

    It's Tuesday morning and on his drive into the office, Bill gets a call from the CEO. The company's new IT initiative, code named Phoenix Project, is critical to the future of Parts Unlimited, but the project is massively over budget and very late. The CEO wants Bill to report directly to him and fix the mess in ninety days or else Bill's entire department will be outsourced. With the help of a prospective board member and his mysterious philosophy of The Three Ways, Bill starts to see that IT work has more in common with manufacturing plant work than he ever imagined. With the clock ticking, Bill must organize work flow streamline interdepartmental communications, and effectively serve the other business functions at Parts Unlimited. In a fast-paced and entertaining style, three luminaries of the DevOps movement deliver a story that anyone who works in IT will recognize. Readers will not only learn how to improve their own IT organizations, they'll never view IT the same way again.

    You'll also learn how to make your programs interactive and how to test your code safely before adding it to a project. In the second half of the book, you'll put your new knowledge into practice with three substantial projects: a Space Invaders-inspired arcade game, data visualizations with Python's super-handy libraries, and a simple web app you can deploy online.As you work through Python Crash Course, you'll learn how to: Use powerful Python libraries and tools, including matplotlib, NumPy, and PygalMake 2D games that respond to keypresses and mouse clicks, and that grow more difficult as the game progressesWork with data to generate interactive visualizationsCreate and customize simple web apps and deploy them safely onlineDeal with mistakes and errors so you can solve your own programming problemsIf you've been thinking seriously about digging into programming, Python Crash Course will get you up to speed and have you writing real programs fast. Why wait any longer? Start your engines and code!

    The book begins with the basic concepts of logic and set theory, to familiarize students with the language of mathematics and how it is interpreted. These concepts are used as the basis for a step-by-step breakdown of the most important techniques used in constructing proofs. To help students construct their own proofs, this new edition contains over 200 new exercises, selected solutions, and an introduction to Proof Designer software. No background beyond standard high school mathematics is assumed. Previous Edition Hb (1994) 0-521-44116-1 Previous Edition Pb (1994) 0-521-44663-5