Rather than a "how to" for hands-on techies, the book entices lay-readers and experts alike by covering new case studies and the latest state-of-the-art techniques.You have been predicted — by companies, governments, law enforcement, hospitals, and universities. Their computers say, "I knew you were going to do that!" These institutions are seizing upon the power to predict whether you're going to click, buy, lie, or die.Why? For good reason: predicting human behavior combats financial risk, fortifies healthcare, conquers spam, toughens crime fighting, and boosts sales.How? Prediction is powered by the world's most potent, booming unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn.Predictive analytics unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future — lifting a bit of the fog off our hazy view of tomorrow — means pay dirt.In this rich, entertaining primer, former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: -What type of mortgage risk Chase Bank predicted before the recession. -Predicting which people will drop out of school, cancel a subscription, or get divorced before they are even aware of it themselves. -Why early retirement decreases life expectancy and vegetarians miss fewer flights. -Five reasons why organizations predict death, including one health insurance company. -How U.S. Bank, European wireless carrier Telenor, and Obama's 2012 campaign calculated the way to most strongly influence each individual. -How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! -How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. -How judges and parole boards rely on crime-predicting computers to decide who stays in prison and who goes free. -What's predicted by the BBC, Citibank, ConEd, Facebook, Ford, Google, IBM, the IRS, Match.com, MTV, Netflix, Pandora, PayPal, Pfizer, and Wikipedia. A truly omnipresent science, predictive analytics affects everyone, every day. Although largely unseen, it drives millions of decisions, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate.Predictive analytics transcends human perception. This book's final chapter answers the riddle: What often happens to you that cannot be witnessed, and that you can't even be sure has happened afterward — but that can be predicted in advance?Whether you are a consumer of it — or consumed by it — get a handle on the power of Predictive Analytics.

    Drawing on his experience as a medical researcher, Vickers blends insightful explanations and humor, with minimal math, to help readers understand and interpret the statistics they read every day. Describing data; Data distributions; Variation of study results: confidence intervals; Hypothesis testing; Regression and decision making; Some common statistical errors, and what they teach us For all readers interested in statistics.

    These new discoveries are part of an old tradition. In the seventeenth century the philosopher Thomas Hobbes, dismayed by the impending civil war in England, decided that he would work out what kind of government was needed for a stable society. His solution sparked a new way of thinking about human behavior in looking for the "scientific" rules of society.Adam Smith, Immanuel Kant, Auguste Comte, and John Stuart Mill pursued this idea from different political perspectives. But these philosophers lacked the tools that modern physics can now bring to bear on the matter. Philip Ball shows how, by using these tools, we can understand many aspects of mass human behavior. Once we recognize that we do not make most of our decisions in isolation but are affected by what others decide, we can start to discern a surprising and perhaps even disturbing predictability in our laws, institutions, and customs.Lively and compelling, Critical Mass is the first book to bring these new ideas together and to show how they fit within the broader historical context of a rational search for better ways to live.

     Once one of Silicon Valley’s greatest success stories, Facebook has been under constant fire for the past five years, roiled by controversies and crises. It turns out that while the tech giant was connecting the world, they were also mishandling users’ data, spreading fake news, and amplifying dangerous, polarizing hate speech. The company, many said, had simply lost its way. But the truth is far more complex. Leadership decisions enabled, and then attempted to deflect attention from, the crises. Time after time, Facebook’s engineers were instructed to create tools that encouraged people to spend as much time on the platform as possible, even as those same tools boosted inflammatory rhetoric, conspiracy theories, and partisan filter bubbles. And while consumers and lawmakers focused their outrage on privacy breaches and misinformation, Facebook solidified its role as the world’s most voracious data-mining machine, posting record profits, and shoring up its dominance via aggressive lobbying efforts. Drawing on their unrivaled sources, Sheera Frenkel and Cecilia Kang take readers inside the complex court politics, alliances and rivalries within the company to shine a light on the fatal cracks in the architecture of the tech behemoth. Their explosive, exclusive reporting led them to a shocking conclusion: The missteps of the last five years were not an anomaly but an inevitability—this is how Facebook was built to perform. In a period of great upheaval, growth has remained the one constant under the leadership of Mark Zuckerberg and Sheryl Sandberg. Both have been held up as archetypes of uniquely 21st century executives—he the tech “boy genius” turned billionaire, she the ultimate woman in business, an inspiration to millions through her books and speeches. But sealed off in tight circles of advisers and hobbled by their own ambition and hubris, each has stood by as their technology is coopted by hate-mongers, criminals and corrupt political regimes across the globe, with devastating consequences. In An Ugly Truth, they are at last held accountable.

    The Motion Picture Association of America, for instance, claimed that in 2005 the film industry lost $2.3 billion in revenue to piracy online. But here Adrian Johns shows that piracy has a much longer and more vital history than we have realized—one that has been largely forgotten and is little understood. Piracy explores the intellectual property wars from the advent of print culture in the fifteenth century to the reign of the Internet in the twenty-first. Brimming with broader implications for today’s debates over open access, fair use, free culture, and the like, Johns’s book ultimately argues that piracy has always stood at the center of our attempts to reconcile creativity and commerce—and that piracy has been an engine of social, technological, and intellectual innovations as often as it has been their adversary. From Cervantes to Sonny Bono, from Maria Callas to Microsoft, from Grub Street to Google, no chapter in the story of piracy evades Johns’s graceful analysis in what will be the definitive history of the subject for years to come.

    While such visualizations can better inform us, they can also deceive by displaying incomplete or inaccurate data, suggesting misleading patterns—or simply misinform us by being poorly designed, such as the confusing “eye of the storm” maps shown on TV every hurricane season.Many of us are ill equipped to interpret the visuals that politicians, journalists, advertisers, and even employers present each day, enabling bad actors to easily manipulate visuals to promote their own agendas. Public conversations are increasingly driven by numbers, and to make sense of them we must be able to decode and use visual information. By examining contemporary examples ranging from election-result infographics to global GDP maps and box-office record charts, How Charts Lie teaches us how to do just that.

    Some say it has gone. In The Future of Ideas, Lawrence Lessig explains how the revolution has produced a counterrevolution of potentially devastating power and effect. Creativity once flourished because the Net protected a commons on which widest range of innovators could experiment. But now, manipulating the law for their own purposes, corporations have established themselves as virtual gatekeepers of the Net while Congress, in the pockets of media magnates, has rewritten copyright and patent laws to stifle creativity and progress.Lessig weaves the history of technology and its relevant laws to make a lucid and accessible case to protect the sanctity of intellectual freedom. He shows how the door to a future of ideas is being shut just as technology is creating extraordinary possibilities that have implications for all of us. Vital, eloquent, judicious and forthright, The Future of Ideas is a call to arms that we can ill afford to ignore.

    Deciding whether to build another power generation plant in the next five years requires forecasts of future demand. Scheduling staff in a call centre next week requires forecasts of call volumes. Stocking an inventory requires forecasts of stock requirements. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly. Examples use R with many data sets taken from the authors' own consulting experience.

    Get ready to amaze your friends—and yourself—with incredible calculations you never thought you could master, as renowned “mathemagician” Arthur Benjamin shares his techniques for lightning-quick calculations and amazing number tricks. This book will teach you to do math in your head faster than you ever thought possible, dramatically improve your memory for numbers, and—maybe for the first time—make mathematics fun.Yes, even you can learn to do seemingly complex equations in your head; all you need to learn are a few tricks. You’ll be able to quickly multiply and divide triple digits, compute with fractions, and determine squares, cubes, and roots without blinking an eye. No matter what your age or current math ability, Secrets of Mental Math will allow you to perform fantastic feats of the mind effortlessly. This is the math they never taught you in school.Also available as an eBook

    Leonard examines the “stuff” we use everyday, offering a galvanizing critique and steps for a changed planet.The Story of Stuff was received with widespread enthusiasm in hardcover, by everyone from Stephen Colbert to Tavis Smiley to George Stephanopolous on Good Morning America, as well as far-reaching print and blog coverage. Uncovering and communicating a critically important idea—that there is an intentional system behind our patterns of consumption and disposal—Annie Leonard transforms how we think about our lives and our relationship to the planet.From sneaking into factories and dumps around the world to visiting textile workers in Haiti and children mining coltan for cell phones in the Congo, Leonard, named one of Time magazine’s 100 environmental heroes of 2009, highlights each step of the materials economy and its actual effect on the earth and the people who live near sites like these.With curiosity, compassion, and humor, Leonard shares concrete steps for taking action at the individual and political level that will bring about sustainability, community health, and economic justice. Embraced by teachers, parents, churches, community centers, activists, and everyday readers, The Story of Stuff will be a long-lived classic.

    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.

    However, according to Hofstadter, the formal system that underlies all mental activity transcends the system that supports it. If life can grow out of the formal chemical substrate of the cell, if consciousness can emerge out of a formal system of firing neurons, then so too will computers attain human intelligence. Gödel, Escher, Bach is a wonderful exploration of fascinating ideas at the heart of cognitive science: meaning, reduction, recursion, and much more.

    How will we live well in a super-networked, information-soaked, yet predictably irrational world? The only way to know is to understand how the way we think is changing. As economist Tyler Cowen boldly shows in Create Your Own Economy, the way we think now is changing more rapidly than it has in a very long time. Not since the Industrial Revolution has a man-made creation-in this case, the World Wide Web-so greatly influenced the way our minds work and our human potential. Cowen argues brilliantly that we are breaking down cultural information into ever-smaller tidbits, ordering and reordering them in our minds (and our computers) to meet our own specific needs. Create Your Own Economy explains why the coming world of Web 3.0 is good for us; why social networking sites such as Facebook are so necessary; what's so great about "Tweeting" and texting; how education will get better; and why politics, literature, and philosophy will become richer. This is a revolutionary guide to life in the new world.

    Everything. Yet, in recent years discoveries in physics and cosmology have led a number of scientists to conclude that our universe may be one among many. With crystal-clear prose and inspired use of analogy, Brian Greene shows how a range of different “multiverse” proposals emerges from theories developed to explain the most refined observations of both subatomic particles and the dark depths of space: a multiverse in which you have an infinite number of doppelgängers, each reading this sentence in a distant universe; a multiverse comprising a vast ocean of bubble universes, of which ours is but one; a multiverse that endlessly cycles through time, or one that might be hovering millimeters away yet remains invisible; another in which every possibility allowed by quantum physics is brought to life. Or, perhaps strangest of all, a multiverse made purely of math.Greene, one of our foremost physicists and science writers, takes us on a captivating exploration of these parallel worlds and reveals how much of reality’s true nature may be deeply hidden within them. And, with his unrivaled ability to make the most challenging of material accessible and entertaining, Greene tackles the core question: How can fundamental science progress if great swaths of reality lie beyond our reach?Sparked by Greene’s trademark wit and precision, The Hidden Reality is at once a far-reaching survey of cutting-edge physics and a remarkable journey to the very edge of reality—a journey grounded firmly in science and limited only by our imagination.

    Today Nash's beautiful math has become a universal language for research in the social sciences and has infiltrated the realms of evolutionary biology, neuroscience, and even quantum physics. John Nash won the 1994 Nobel Prize in economics for pioneering research published in the 1950s on a new branch of mathematics known as game theory. At the time of Nash's early work, game theory was briefly popular among some mathematicians and Cold War analysts. But it remained obscure until the 1970s when evolutionary biologists began applying it to their work. In the 1980s economists began to embrace game theory. Since then it has found an ever expanding repertoire of applications among a wide range of scientific disciplines. Today neuroscientists peer into game players' brains, anthropologists play games with people from primitive cultures, biologists use games to explain the evolution of human language, and mathematicians exploit games to better understand social networks. A common thread connecting much of this research is its relevance to the ancient quest for a science of human social behavior, or a Code of Nature, in the spirit of the fictional science of psychohistory described in the famous Foundation novels by the late Isaac Asimov. In A Beautiful Math, acclaimed science writer Tom Siegfried describes how game theory links the life sciences, social sciences, and physical sciences in a way that may bring Asimov's dream closer to reality.