Learn how the crisis over digital privacy and manipulation evolved in this “utterly fascinating” look at the growth of data mining and analysis (Seattle Post-Intelligencer). Award-winning journalist Stephen Baker traces the rise of the “global math elite”: computer scientists who invent ways to not only record our behavior, but also to predict and alter it. Nowadays, we don’t need to be online to create a digital trail; we do it simply by driving through an automated tollbooth or shopping with a credit card. As massive amounts of information are collected, sifted, and analyzed, we all become targets of those who want to influence everything from what we buy to how we vote. Clear and “highly readable,” The Numerati is a look at the origins of our present-day world, the possibilities of the future, and those who—whether with good or bad intentions—profile us as workers, consumers, citizens, or potential terrorists (The Wall Street Journal).

The “charming and terrifying” story of IBM’s breakthrough in artificial intelligence, from the Business Week technology writer and author of The Numerati (Publishers Weekly, starred review). For centuries, people have dreamed of creating a machine that thinks like a human. Scientists have made progress: computers can now beat chess grandmasters and help prevent terrorist attacks. Yet we still await a machine that exhibits the rich complexity of human thought—one that doesn’t just crunch numbers, or take us to a relevant web page, but understands and communicates with us. With the creation of Watson, IBM’s Jeopardy!-playing computer, we are one step closer to that goal. In Final Jeopardy, Stephen Baker traces the arc of Watson’s “life,” from its birth in the IBM labs to its big night on the podium. We meet Hollywood moguls and Jeopardy! masters, genius computer programmers and ambitious scientists, including Watson’s eccentric creator, David Ferrucci. We see how Watson’s breakthroughs and the future of artificial intelligence could transform medicine, law, marketing, and even science itself, as machines process huge amounts of data at lightning speed, answer our questions, and possibly come up with new hypotheses. As fast and fun as the game itself, Final Jeopardy shows how smart machines will fit into our world—and how they’ll disrupt it. “The place to go if you’re really interested in this version of the quest for creating Artificial Intelligence.” —The Seattle Times “Like Tracy Kidder’s Soul of a New Machine, Baker’s book finds us at the dawn of a singularity. It’s an excellent case study, and does good double duty as a Philip K. Dick scenario, too.” —Kirkus Reviews “Like a cross between Born Yesterday and 2001: A Space Odyssey, Baker’s narrative is both . . . an entertaining romp through the field of artificial intelligence—and a sobering glimpse of things to come.” —Publishers Weekly, starred review

Ralf is a software prodigy. He works in the US government office that updates the software in the population's boosts—networked supercomputers contained in a chip implanted within the brains of 99 percent of the world's population. Invented by Chinese researchers in 2032, the boost is credited with leading humanity to its most significant cognitive leap since the discovery of fire. Days before a national upgrade, Ralf notices that the update includes an open surveillance gate—meaning that Americans, who had negotiated high levels of privacy with the Chinese manufacturers, will now be subjected to the invasive Chinese standard. Ralf attempts to hack the boost, but is caught by agents working for Washington's preeminent lobbyist. His boost is ripped from his head, and Ralf barely escapes with his life. Pursued by the lobbyist's mercenary cadre, Ralf flees to the US–Mexico border, where there are others like him—"wild" humans on the fringes of society, unenhanced by technology. It's a frightening and backward world controlled by powerful drug lords. Ralf's only hope is to somehow work with these wild bosses of the analog world—in hopes of winning back freedom in the digital one.

"Mesmerizing & fascinating..." —The Seattle Post-Intelligencer "The Freakonomics of big data." —Stein Kretsinger, founding executive of Advertising.com Award-winning | Used by over 30 universities | Translated into 9 languages An introduction for everyone. In this rich, fascinating — surprisingly accessible — introduction, leading expert Eric Siegel reveals how predictive analytics (aka machine learning) works, and how it affects everyone every day. Rather than a “how to” for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques. Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die. Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections. How? Prediction is powered by the world's most potent, flourishing 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 (aka machine learning) 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 drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate. In this lucid, captivating introduction — now in its Revised and Updated edition — 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 even know it themselves. Why early retirement predicts a shorter life expectancy and vegetarians miss fewer flights. Five reasons why organizations predict death — including one health insurance company. How U.S. Bank and Obama for America calculated the way to most strongly persuade each individual. Why the NSA wants all your data: machine learning supercomputers to fight terrorism. 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 how long convicts remain in prison. 182 examples from Airbnb, the BBC, Citibank, ConEd, Facebook, Ford, Google, the IRS, LinkedIn, Match.com, MTV, Netflix, PayPal, Pfizer, Spotify, Uber, UPS, Wikipedia, and more. How does predictive analytics work? This jam-packed book satisfies by demystifying the intriguing science under the hood. For future hands-on practitioners pursuing a career in the field, it sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more. A truly omnipresent science, predictive analytics constantly affects our daily lives. Whether you are a

"Jonathan Bush of athenahealth leads readers through the underbelly of American health care, which has missed the customer service revolution of the past two decades, while reflecting on his own journey from ambulance driver to CEO of one of the nation's fastest growing tech companies. He offers a vision and plan for disrupting the current system and pushes to restore the sanctity of the physician-patient experience. The key, he argues, is more innovation, less regulation, and a wider range of choices for customers"--Provided by publisher.

Urban expert John Rossant and business journalist Stephen Baker look beyond the false promises of the past to examine the real future of transportation and the repercussions for the world’s cities, the global economy, the environment, and our individual lives. Human mobility, dominated for a century by cars and trucks, is facing a dramatic transformation. Over the next decade, new networked devices, from electric bikes to fleets of autonomous cars, will change the way we move. They will also disrupt major industries, from energy to cars, give birth to new mobility giants, and lead to a redesign of our cities. For Rossant and Baker, this represents the advance of the Information Revolution into the physical world. This will raise troubling questions about surveillance, privacy, the dangers from hackers and the loss of jobs. But it also promises startling efficiencies, which could turn our cities green and, perhaps, save our planet. In an engaging, deeply reported book, the authors travel to mobility hotspots, from Helsinki to Shanghai, to scout out this future. And they visit the companies putting it together. One, Divergent3d, is devising a system to manufacture cars with robots and 3D printers. PonyAI, a Chinese-Silicon Valley startup, builds autonomous software that perceives potholes, oncoming trucks, and wayward pedestrians, and guides the vehicle around them. Voom, an Airbus subsidiary, is racing with dozens of others to operate fleets of air taxis that fly by themselves. Hop, Skip, Go is about us: billions of people on the move. Underlying each stage of mobility, from foot to horse to cars and jets, are the mathematics of three fundamental variables: time, space and money. We measure each trip we take, whether to Kuala Lumpur or the corner drugstore. As the authors make clear, the coming mobility revolution will be no different. As they unveil the future, the authors explore how these changes might revamp our conception of global geography, the hours in our days, and where in the world we might be able to go.

In recent years, scholars and musicians have become increasingly interested in the revival of musical improvisation as it was known in the Renaissance and Baroque periods. This historically informed practice is now supplanting the late Romantic view of improvised music as a rhapsodic endeavour—a musical blossoming out of the capricious genius of the player—that dominated throughout the twentieth century. In the Renaissance and Baroque eras, composing in the mind (alla mente) had an important didactic function. For several categories of musicians, the teaching of counterpoint happened almost entirely through practice on their own instruments. This volume offers the first systematic exploration of the close relationship among improvisation, music theory, and practical musicianship from late Renaissance into the Baroque era. It is not a historical survey per se, but rather aims to re-establish the importance of such a combination as a pedagogical tool for a better understanding of the musical idioms of these periods. The authors are concerned with the transferral of historical practices to the modern classroom, discussing new ways of revitalising the study and appreciation of early music. The relevance and utility of such an improvisation-based approach also changes our understanding of the balance between theoretical and practical sources in the primary literature, as well as the concept of music theory itself. Alongside a word-centred theoretical tradition, in which rules are described in verbiage and enriched by musical examples, we are rediscovering the importance of a music-centred tradition, especially in Spain and Italy, where the music stands alone and the learner must distil the rules by learning and playing the music. Throughout its various sections, the volume explores the path of improvisation from theory to practice and back again.