Yet you'd have to fly every day for the next 26,000 years to assure yourself of dying in a crash. A leisurely canoe ride is more than 100 times deadlier. Think city streets are unsafe? You're more likely to come to harm in your own home, where every year you stand a 1 in 650 chance of being injured by your bed, mattress, or pillows—and each year 800 Americans die in accidents involving soft furnishings.We live in a world governed by fear, where packets of peanuts "may contain nuts" and children must be ever on the alert to "stranger danger." And yet, life expectancy has never been higher. Crime rates have plunged. Even unintentional injuries are down. So if we're so safe, why are we so afraid?How to Live Dangerously is a hilarious, straight-talking look at the things that terrify us. It considers life's real risks, not to mention the often ridiculous methods we've contrived to keep ourselves "safe." It encourages you to ignore fearmongers and embrace a new kind of freedom, in which we all worry a little less—and live a whole lot more.

    It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought.Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.”Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.

     Stretching between these figures is a cast of artists, writers, and scientists--mostly women, mostly queer--whose public contribution has risen out of their unclassifiable and often heartbreaking private relationships to change the way we understand, experience, and appreciate the universe. Among them are the astronomer Maria Mitchell, who paved the way for women in science; the sculptor Harriet Hosmer, who did the same in art; the journalist and literary critic Margaret Fuller, who sparked the feminist movement; and the poet Emily Dickinson.Emanating from these lives are larger questions about the measure of a good life and what it means to leave a lasting mark of betterment on an imperfect world: Are achievement and acclaim enough for happiness? Is genius? Is love? Weaving through the narrative is a set of peripheral figures--Ralph Waldo Emerson, Charles Darwin, Elizabeth Barrett Browning, Herman Melville, Frederick Douglass, Nathaniel Hawthorne, and Walt Whitman--and a tapestry of themes spanning music, feminism, the history of science, the rise and decline of religion, and how the intersection of astronomy, poetry, and Transcendentalist philosophy fomented the environmental movement.

    With this concise book, you will quickly gain working knowledge of Sinatra and its minimalist approach to building both standalone and modular web applications. Sinatra serves as a lightweight wrapper around Rack middleware, with syntax that maps closely to functions exposed by HTTP verbs, which makes it ideal for web services and APIs. If you have experience building applications with Ruby, you’ll quickly learn language fundamentals and see under-the-hood techniques, with the help of several practical examples. Then you’ll get hands-on experience with Sinatra by building your own blog engine. Learn Sinatra’s core concepts, and get started by building a simple application Create views, manage sessions, and work with Sinatra route definitions Become familiar with the language’s internals, and take a closer look at Rack Use different subclass methods for building flexible and robust architectures Put Sinatra to work: build a blog that takes advantage of service hooks provided by the GitHub API

    This guide also helps you understand the many data-mining techniques in use today.Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.Understand how data science fits in your organization—and how you can use it for competitive advantageTreat data as a business asset that requires careful investment if you’re to gain real valueApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate wayLearn general concepts for actually extracting knowledge from dataApply data science principles when interviewing data science job candidates

    A classic text by the author who developed ELIZA, a natural-language processing system.

    Contemplation of time and the discoveries of modern science lead to the assertion that the mind is paramount and limitless.

    After a brief tale of her own introduction to the paranormal, the author shares funny, poignant, and insightful words straight from the spirit people themselves. Together, the living and the dead seek forgiveness, solve family mysteries, find closure, settle scores, and come together for birthdays, anniversaries, and graduations. Quoting directly from her readings and séances, Priscilla reports the spirit perspective on mental illness, suicide, religion, and even the afterlife itself. For those readers interested in developing their own spirit communication skills, the last section of the book offers meditations and exercises used by the author herself, both personally and with her students. "It Will All Make Sense When You’re Dead" is chock-full of simple and entertaining wisdom, showing us how to live for today, with light hearts and kindness.

    . . and deaths. After the era of the atomic bomb, Virilio posits an era of genetic and information bombs which replace the apocalyptic bang of nuclear death with the whimper of a subliminally reinforced eugenics. We are entering the age of euthanasia.These exhilarating bulletins from the information war extend the range of Virilio's work. The Information Bomb spans everything from Fukuyama to Larry Flynt, the Sensation exhibition of New British Art to space travel, all seen through the optic of Virilio's trenchant and committed theoretical position.

    It's as if we think of code as a magic spell, an incantation to reveal what we need to know and even what we want. Humans have always believed that certain invocations—the marriage vow, the shaman's curse—do not merely describe the world but make it. Computation casts a cultural shadow that is shaped by this long tradition of magical thinking. In this book, Ed Finn considers how the algorithm—in practical terms, “a method for solving a problem”—has its roots not only in mathematical logic but also in cybernetics, philosophy, and magical thinking.Finn argues that the algorithm deploys concepts from the idealized space of computation in a messy reality, with unpredictable and sometimes fascinating results. Drawing on sources that range from Neal Stephenson's Snow Crash to Diderot's Encyclopédie, from Adam Smith to the Star Trek computer, Finn explores the gap between theoretical ideas and pragmatic instructions. He examines the development of intelligent assistants like Siri, the rise of algorithmic aesthetics at Netflix, Ian Bogost's satiric Facebook game Cow Clicker, and the revolutionary economics of Bitcoin. He describes Google's goal of anticipating our questions, Uber's cartoon maps and black box accounting, and what Facebook tells us about programmable value, among other things.If we want to understand the gap between abstraction and messy reality, Finn argues, we need to build a model of “algorithmic reading” and scholarship that attends to process, spearheading a new experimental humanities.

    With his own research as well as that of some of the most distinguished scientists of our time, Schäfer moves us from a reality of Darwinian competition to cooperation, a meaningless universe to a meaningful one, and a disconnected, isolated existence to an interconnected one. In so doing, he shows us that our potential is infinite and calls us to live in accordance with the order of the universe, creating a society based on the cosmic principle of connection, emphasizing cooperation and community.

    Here, Jenny Odell sends up a flare from the heart of Silicon Valley, delivering an action plan to resist capitalist narratives of productivity and techno-determinism, and to become more meaningfully connected in the process.

    Big Blue, as the company is known, tends to rely for its success on magical thinking but that magic ran out a long time ago. The company got in trouble back in the 1990s and had to hire for the first time an outside CEO, Lou Gerstner, to save the day. Gerstner pushed IBM into services with spectacular results but this hurt the company, too. As services have became commoditized IBM could only compete by offshoring the work and quality suffered. The other negative impact of Gerstner was his compensation which was for the first time in IBM history very high. Only the Watson family had become rich running IBM with later CEOs like John Opel and John Akers living comfortable lives with lots of perks, but they never got BIG RICH. That changed with Gerstner. Sam Palmisano an IBM lifer followed Gerstner as CEO and followed, too, the Gerstner playbook. Palmisano retired three years ago with a retirement package worth $241 million, replaced by IBM's first woman CEO, Ginni Rometty, who certainly expects a comparable golden parachute. In order to achieve these numbers, though, IBM has essentially sacrificed both its customers and employees. In order to have ever growing earnings per share the company has cut labor to the bone, off-shored everything it can, dropped quality, deliberately underbid contracts to win them then not performed. IBM's acquisition policy is one of buying companies to get their sales then cutting costs to the bone and under-delivering. This and share buybacks have kept earnings growing until this house of cards recently began to fall. Ginni Rometty, who will end up taking the fall for Palmisano's flawed strategy, has stated a very specific earnings goal for 2015 that she will destroy the company to achieve if she must. This book how IBM fell from grace, where it is headed, and what specifically can be done to save the company before it is too late.

    The book covers all of the new CompTIA Security+ 2008 exam objectives and maps to the new Security+ 2008 exam. This updated edition features many all-new topics, including topics new to the CompTIA exams like cross site scripting, SQL injection, rootkits, and virtualization, as well as topics of increasing importance in the industry as a whole, like the latest breeds of attackers, Wi-Fi Protected Access 2, and Microsoft Windows Vista security.

    Mark Plaster takes readers beyond the ambulance bay doors into the stranger-than-fiction world of the Emergency Department. By turns heart-warming and gut-wrenching, "Night Shift" chronicles the ebb and flow of human life, in all of its unvarnished glory, as it passes through the doors of the ED.