“This is Steve Jobs. I saw your picture in a magazine a few years ago and thought we’d work together someday.” After Steve Jobs was unceremoniously dismissed from Apple, he bought a little-known graphics company called Pixar. One day, out of the blue, Jobs called Lawrence Levy, a Harvard-trained lawyer and executive to whom he had never spoken before, to persuade Levy to help him get Pixar off the ground. What Levy found was a company on the verge of failure. To Pixar and Beyond is the story of what happened next: how, working closely with Jobs, Levy produced and implemented a highly improbable plan that transformed Pixar into one of Hollywood’s greatest success stories. Set in the worlds of Silicon Valley and Hollywood, the book takes readers inside Pixar, Disney, law firms, and investment banks. It provides an up-close, firsthand account of Pixar’s ascent, how it made creative choices, Levy’s enduring collaboration and friendship with Jobs, and how Levy came to see in Pixar deeper lessons that can apply to many aspects of our lives.

    To its adherents, it is an elegant statement about learning from experience. To its opponents, it is subjectivity run amok.In the first-ever account of Bayes' rule for general readers, Sharon Bertsch McGrayne explores this controversial theorem and the human obsessions surrounding it. She traces its discovery by an amateur mathematician in the 1740s through its development into roughly its modern form by French scientist Pierre Simon Laplace. She reveals why respected statisticians rendered it professionally taboo for 150 years—at the same time that practitioners relied on it to solve crises involving great uncertainty and scanty information (Alan Turing's role in breaking Germany's Enigma code during World War II), and explains how the advent of off-the-shelf computer technology in the 1980s proved to be a game-changer. Today, Bayes' rule is used everywhere from DNA de-coding to Homeland Security.Drawing on primary source material and interviews with statisticians and other scientists, The Theory That Would Not Die is the riveting account of how a seemingly simple theorem ignited one of the greatest controversies of all time.

    In two years, this ring of card savants earned more than three million dollars. Filled with tense action and incredibly close calls, this is a real-life adventure that could have stepped straight out of a Hollywood film.

    In Dataclysm, Christian Rudder uses it to show us who we truly are.   For centuries, we’ve relied on polling or small-scale lab experiments to study human behavior. Today, a new approach is possible. As we live more of our lives online, researchers can finally observe us directly, in vast numbers, and without filters. Data scientists have become the new demographers.   In this daring and original book, Rudder explains how Facebook "likes" can predict, with surprising accuracy, a person’s sexual orientation and even intelligence; how attractive women receive exponentially more interview requests; and why you must have haters to be hot. He charts the rise and fall of America’s most reviled word through Google Search and examines the new dynamics of collaborative rage on Twitter. He shows how people express themselves, both privately and publicly. What is the least Asian thing you can say? Do people bathe more in Vermont or New Jersey? What do black women think about Simon & Garfunkel? (Hint: they don’t think about Simon & Garfunkel.) Rudder also traces human migration over time, showing how groups of people move from certain small towns to the same big cities across the globe. And he grapples with the challenge of maintaining privacy in a world where these explorations are possible.   Visually arresting and full of wit and insight, Dataclysm is a new way of seeing ourselves—a brilliant alchemy, in which math is made human and numbers become the narrative of our time.

    Or the "Phantom of Fine Hall," a figure many students had seen shuffling around the corridors of the math and physics building wearing purple sneakers and writing numerology treatises on the blackboards. The Phantom was John Nash, one of the most brilliant mathematicians of his generation, who had spiraled into schizophrenia in the 1950s. His most important work had been in game theory, which by the 1980s was underpinning a large part of economics. When the Nobel Prize committee began debating a prize for game theory, Nash's name inevitably came up—only to be dismissed, since the prize clearly could not go to a madman. But in 1994 Nash, in remission from schizophrenia, shared the Nobel Prize in economics for work done some 45 years previously.Economist and journalist Sylvia Nasar has written a biography of Nash that looks at all sides of his life. She gives an intelligent, understandable exposition of his mathematical ideas and a picture of schizophrenia that is evocative but decidedly unromantic. Her story of the machinations behind Nash's Nobel is fascinating and one of very few such accounts available in print (the CIA could learn a thing or two from the Nobel committees).

    The true disruption will be to your business model. Future customers won’t want to pay you high prices out of big “CapEx” budgets anymore. They will expect lower “cloud” prices paid from “OpEx” budgets only when and if they successfully consume the business value of your products.How your company reacts to this risk shift could either accelerate the commoditization of your products or lead you to a new stage of profitable growth. For the first time, the tools are on the table to truly eliminate barriers of cost and complexity created by the last generation of tech. Consumption Economics is the owner’s manual for tech company executives who want to drive their company successfully into the next one.

     In MATH WITH BAD DRAWINGS, Ben Orlin answers math's three big questions: Why do I need to learn this? When am I ever going to use it? Why is it so hard? The answers come in various forms-cartoons, drawings, jokes, and the stories and insights of an empathetic teacher who believes that math should belong to everyone.Eschewing the tired old curriculum that begins in the wading pool of addition and subtraction and progresses to the shark infested waters of calculus (AKA the Great Weed Out Course), Orlin instead shows us how to think like a mathematician by teaching us a new game of Tic-Tac-Toe, how to understand an economic crisis by rolling a pair of dice, and the mathematical reason why you should never buy a second lottery ticket. Every example in the book is illustrated with his trademark "bad drawings," which convey both his humor and his message with perfect pitch and clarity. Organized by unconventional but compelling topics such as "Statistics: The Fine Art of Honest Lying," "Design: The Geometry of Stuff That Works," and "Probability: The Mathematics of Maybe," MATH WITH BAD DRAWINGS is a perfect read for fans of illustrated popular science.

     During a single historic weekend (September 12-14, 2008) the fate of Lehman Brothers was sealed, Merrill Lynch barely survived, and AIG became a ward of the federal government. Top CNBC anchor Maria Bartiromo spent the entire weekend taking frantic phone calls from the most powerful players on Wall Street and in Washington, as they toiled to keep the economy from complete collapse. Those CEOs and dozens of other sources gave Bartiromo behind-the-scenes details unavailable to other members of the media, of the crisis and its aftermath. Now she draws on her high-level network to provide an eyewitness account of the biggest events of the financial crisis including at length interviews with former treasury secretary Henry Paulson, former AIG chairman Hank Greenberg, former Merrill Lynch CEO John Thain, and JP Morgan CEO Jamie Dimon, among many others. Writing with both authority and dramatic flair, Bartiromo weaves a thrilling narrative that will make news. She also tackles the big questions: how did an unmatched period of market euphoria and growth turn sour, catapulting the economy into a dangerous slide? And in the long run, how will the near-catastrophe really change Wall Street?

    To what extent do we control our own destiny? Can those who have risen to the top really say it was all down to them? Is lucky success somehow less deserving? Watch Ed Smith talk about Luck

    The work is predicated on the idea that studying mathematics can generate the same enthusiasm as playing a team sport - without necessarily being competitive.

    Underlining the importance of critical thinking in all matters numerical, Best illustrates his points with examples of good and bad statistics about such contemporary concerns as school shootings, fatal hospital errors, bullying, teen suicides, deaths at the World Trade Center, college ratings, the risks of divorce, racial profiling, and fatalities caused by falling coconuts."More Damned Lies and Statistics" encourages all of us to think in a more sophisticated and skeptical manner about how statistics are used to promote causes, create fear, and advance particular points of view.

    Dozens of examples in innumeracy show us how it affects not only personal economics and travel plans, but explains mis-chosen mates, inappropriate drug-testing, and the allure of pseudo-science.

    Professor Lofti Zadeh masterminded "fuzzy logic"--a way of programming computers to "make decisions" bases on imprecise data and complex situations. In "Fuzzy Logic," Daniel McNeill and Paul Freiberger relate the compelling tale of this remarkable new technology, the genius who brought it to life, and how it will soon affect the lives of every one of us.

    When this investors’ darling was exposed as a house of cards, tales of fraudulent accounting, a lavish lifestyle involving multimillion-rand racehorses and ructions in the ‘Stellenbosch mafia’ made headlines around the world. As regulators tally up the cost, 'Financial Mail' editor Rob Rose reveals the real inside story behind Steinhoff. Based on dozens of interviews with key players in South Africa, the UK, Germany and the Netherlands – and documents not yet public – Steinheist reveals: how Bruno Steinhoff formed the company by doing business in the Communist bloc and apartheid South Africa; how the ‘Markus myth’ started in the dusty streets of Ga-Rankuwa and grew thanks to a ‘bit of luck’ in a 1998 takeover; how Jooste insiders shifted nasty liabilities off Steinhoff’s balance sheet to secretive companies overseas in order to present a false picture of the profits; how Wiese was lucky to lose only R59bn and how Shoprite narrowly escaped getting caught in Steinhoff’s web; and what happened behind closed boardroom doors in the frantic week before Jooste resigned.

    But scientists in the late 20th century have found patterns in things formerly thought to be chaotic; their theories help explain the unstable irregular yet highly structured features of everyday experience. It now seems likely that randomness and chaos play an essential role in the evolution of the living world-and of intelligence itself. Script by Dr. Roger White.