Increasingly, the decisions that affect our lives--where we go to school, whether we can get a job or a loan, how much we pay for health insurance--are being made not by humans, but by machines. In theory, this should lead to greater fairness: Everyone is judged according to the same rules.But as mathematician and data scientist Cathy O'Neil reveals, the mathematical models being used today are unregulated and uncontestable, even when they're wrong. Most troubling, they reinforce discrimination--propping up the lucky, punishing the downtrodden, and undermining our democracy in the process.

    His methodology is sound, his examples clear, and his approach timeless. --Christopher C. Davis Portfolio Manager and Chairman, Davis Advisors Over the years, people from around the world have turned to Morningstar for strong, independent, and reliable advice. The Five Rules for Successful Stock Investing provides the kind of savvy financial guidance only a company like Morningstar could offer. Based on the philosophy that investing should be fun, but not a game, this comprehensive guide will put even the most cautious investors back on the right track by helping them pick the right stocks, find great companies, and understand the driving forces behind different industries--without paying too much for their investments. Written by Morningstar's Director of Stock Analysis, Pat Dorsey, The Five Rules for Successful Stock Investing includes unparalleled stock research and investment strategies covering a wide range of stock-related topics. Investors will profit from such tips as: * How to dig into a financial statement and find hidden gold . . . and deception * How to find great companies that will create shareholder wealth * How to analyze every corner of the market, from banks to health care Informative and highly accessible, The Five Rules for Successful Stock Investing should be required reading for anyone looking for the right investment opportunities in today's ever-changing market.

    Bear Stearns was about to announce profits of $115 million for the first quarter of 2008, had $17.3 billion in cash on hand, and, as the company incessantly boasted, had been a colossally profitable enterprise in the eighty-five years since its founding.Ten days later, Bear Stearns no longer existed, and the calamitous financial meltdown of 2008 had begun.How this happened – and why – is the subject of William D. Cohan’s superb and shocking narrative that chronicles the fall of Bear Stearns and the end of the Second Gilded Age on Wall Street. Bear Stearns serves as the Rosetta Stone to explain how a combination of risky bets, corporate political infighting, lax government regulations and truly bad decision-making wrought havoc on the world financial system.Cohan’s minute-by-minute account of those ten days in March makes for breathless reading, as the bankers at Bear Stearns struggled to contain the cascading series of events that would doom the firm, and as Treasury Secretary Henry Paulson, New York Federal Reserve Bank President Tim Geithner, and Fed Chairman Ben Bernanke began to realize the dire consequences for the world economy should the company go bankrupt. But HOUSE OF CARDS does more than recount the incredible panic of the first stages of the financial meltdown. William D. Cohan beautifully demonstrates why the seemingly invincible Wall Street money machine came crashing down. He chronicles the swashbuckling corporate culture of Bear Stearns, the strangely crucial role competitive bridge played in the company’s fortunes, the brutal internecine battles for power, and the deadly combination of greed and inattention that helps to explain why the company’s leaders ignored the danger lurking in Bear’s huge positions in mortgage-backed securities.The author deftly portrays larger-than-life personalities like Ace Greenberg, Bear Stearns’ miserly, take-no-prisoners chairman whose memos about re-using paper clips were legendary throughout Wall Street; his profane, colorful rival and eventual heir Jimmy Cayne, whose world-champion-level bridge skills were a lever in his corporate rise and became a symbol of the reasons for the firm’s demise; and Jamie Dimon, the blunt-talking CEO of JPMorgan Chase, who won the astonishing endgame of the saga (the Bear Stearns headquarters alone were worth more than JP Morgan paid for the whole company). Cohan’s explanation of seemingly arcane subjects like credit default swaps and fixed- income securities is masterful and crystal clear, but it is the high-end dish and powerful narrative drive that makes HOUSE OF CARDS an irresistible read on a par with classics such as LIAR’S POKER and BARBARIANS AT THE GATE.Written with the novelistic verve and insider knowledge that made THE LAST TYCOONS a bestseller and a prize-winner, HOUSE OF CARDS is a chilling cautionary tale about greed, arrogance, and stupidity in the financial world, and the consequences for all of us.

    How did this marvel of self-organized complexity evolve? How is wealth created within this system? And how can wealth be increased for the benefit of individuals, businesses, and society? In The Origin of Wealth, Eric D. Beinhocker argues that modern science provides a radical perspective on these age-old questions, with far-reaching implications. According to Beinhocker, wealth creation is the product of a simple but profoundly powerful evolutionary formula: differentiate, select, and amplify. In this view, the economy is a "complex adaptive system" in which physical technologies, social technologies, and business designs continuously interact to create novel products, new ideas, and increasing wealth. Taking readers on an entertaining journey through economic history, from the Stone Age to modern economy, Beinhocker explores how "complexity economics" provides provocative insights on issues ranging from creating adaptive organizations to the evolutionary workings of stock markets to new perspectives on government policies. A landmark book that shatters conventional economic theory, The Origin of Wealth will rewire our thinking about how we came to be here—and where we are going.

    I.O.U. is the story of how we came to experience such a complete and devastating financial implosion, and how the decisions and actions of a select group of individuals had profound consequences for America, Europe, and the global economy overall. John Lanchester begins with "The ATM Moment," that seemingly magical proliferation of cheap credit that led to an explosion of lending, and then deftly outlines the global and local landscapes of banking and finance. Viewing the crisis through the lens of politics, culture, and contemporary history -- from the invention and widespread misuse of financial instruments to the culpability of subprime mortgages -- Lanchester draws perceptive conclusions on the limitations of financial and governmental regulation, capitalism's deepest flaw, and, most important, on the plain and simple facts of human nature where cash is concerned.Weaving together firsthand research and superbly written reportage, Lanchester delivers a shrewd perspective and a digestible, comprehensive analysis that connects the dots for the expert and casual reader alike. I.O.U. is an eye-opener of a book -- it may well provoke anger, amazement, or rueful disbelief -- and, as the author clearly reveals, we've only just begun to get ourselves back on track.

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    This is the book that reveals the secret to personal wealth. The Success Secrets of the Ancients—An Assured Road to Happiness and Prosperity Countless readers have been helped by the famous “Babylonian parables,” hailed as the greatest of all inspirational works on the subject of thrift, financial planning, and personal wealth. In language as simple as that found in the Bible, these fascinating and informative stories set you on a sure path to prosperity and its accompanying joys. Acclaimed as a modern-day classic, this celebrated bestseller offers an understanding of—and a solution to—your personal financial problems that will guide you through a lifetime. This is the book that holds the secrets to keeping your money—and making more. The Richest Man in BabylonRead it and recommend it to loved ones—and get on the road to riches.MORE THAN TWO MILLION BOOKS SOLD

    In this fascinating, provocative new book, Kevin Kelly provides an optimistic road map for the future, showing how the coming changes in our lives—from virtual reality in the home to an on-demand economy to artificial intelligence embedded in everything we manufacture—can be understood as the result of a few long-term, accelerating forces. Kelly both describes these deep trends—flowing, screening, accessing, sharing, filtering, remixing, tracking, and questioning—and demonstrates how they overlap and are codependent on one another. These larger forces will completely revolutionize the way we buy, work, learn, and communicate with each other. By understanding and embracing them, says Kelly, it will be easier for us to remain on top of the coming wave of changes and to arrange our day-to-day relationships with technology in ways that bring forth maximum benefits. Kelly’s bright, hopeful book will be indispensable to anyone who seeks guidance on where their business, industry, or life is heading—what to invent, where to work, in what to invest, how to better reach customers, and what to begin to put into place—as this new world emerges.

    In Zero to One, legendary entrepreneur and investor Peter Thiel shows how we can find singular ways to create those new things. Thiel begins with the contrarian premise that we live in an age of technological stagnation, even if we’re too distracted by shiny mobile devices to notice. Information technology has improved rapidly, but there is no reason why progress should be limited to computers or Silicon Valley. Progress can be achieved in any industry or area of business. It comes from the most important skill that every leader must master: learning to think for yourself.Doing what someone else already knows how to do takes the world from 1 to n, adding more of something familiar. But when you do something new, you go from 0 to 1. The next Bill Gates will not build an operating system. The next Larry Page or Sergey Brin won’t make a search engine. Tomorrow’s champions will not win by competing ruthlessly in today’s marketplace. They will escape competition altogether, because their businesses will be unique. Zero to One presents at once an optimistic view of the future of progress in America and a new way of thinking about innovation: it starts by learning to ask the questions that lead you to find value in unexpected places.

    Now, as the world struggles to recover, it's tempting to blame what happened on just a few greedy bankers who took irrational risks and left the rest of us to foot the bill. In "Fault Lines," Rajan argues that serious flaws in the economy are also to blame, and warns that a potentially more devastating crisis awaits us if they aren't fixed.Rajan shows how the individual choices that collectively brought about the economic meltdown--made by bankers, government officials, and ordinary homeowners--were rational responses to a flawed global financial order in which the incentives to take on risk are incredibly out of step with the dangers those risks pose. He traces the deepening fault lines in a world overly dependent on the indebted American consumer to power global economic growth and stave off global downturns. He exposes a system where America's growing inequality and thin social safety net create tremendous political pressure to encourage easy credit and keep job creation robust, no matter what the consequences to the economy's long-term health; and where the U.S. financial sector, with its skewed incentives, is the critical but unstable link between an overstimulated America and an underconsuming world.In "Fault Lines," Rajan demonstrates how unequal access to education and health care in the United States puts us all in deeper financial peril, even as the economic choices of countries like Germany, Japan, and China place an undue burden on America to get its policies right. He outlines the hard choices we need to make to ensure a more stable world economy and restore lasting prosperity.

    Douglas uncovers the underlying reasons for lack of consistency and helps traders overcome the ingrained mental habits that cost them money.  He takes on the myths of the market and exposes them one by one teaching traders to look beyond random outcomes, to understand the true realities of risk, and to be comfortable with the "probabilities" of market movement that governs all market speculation.

    In 1923, with its currency effectively worthless (the exchange rate in December of that year was one dollar to 4,200,000,000,000 marks), the German republic was all but reduced to a barter economy. Expensive cigars, artworks, and jewels were routinely exchanged for staples such as bread; a cinema ticket could be bought for a lump of coal; and a bottle of paraffin for a silk shirt. People watched helplessly as their life savings disappeared and their loved ones starved. Germany’s finances descended into chaos, with severe social unrest in its wake. Money may no longer be physically printed and distributed in the voluminous quantities of 1923. However, “quantitative easing,” that modern euphemism for surreptitious deficit financing in an electronic era, can no less become an assault on monetary discipline. Whatever the reason for a country’s deficit necessity or profligacy, unwillingness to tax or blindness to expenditure it is beguiling to suppose that if the day of reckoning is postponed economic recovery will come in time to prevent higher unemployment or deeper recession. What if it does not? Germany in 1923 provides a vivid, compelling, sobering moral tale.

    The problem with this version of history? There’s not a shred of evidence to support it.Here anthropologist David Graeber presents a stunning reversal of conventional wisdom. He shows that for more than 5,000 years, since the beginnings of the first agrarian empires, humans have used elaborate credit systems to buy and sell goods—that is, long before the invention of coins or cash. It is in this era, Graeber argues, that we also first encounter a society divided into debtors and creditors. Graeber shows that arguments about debt and debt forgiveness have been at the center of political debates from Italy to China, as well as sparking innumerable insurrections. He also brilliantly demonstrates that the language of the ancient works of law and religion (words like “guilt,” “sin,” and “redemption”) derive in large part from ancient debates about debt, and shape even our most basic ideas of right and wrong. We are still fighting these battles today without knowing it.Debt: The First 5,000 Years is a fascinating chronicle of this little known history—as well as how it has defined human history, and what it means for the credit crisis of the present day and the future of our economy.

    The doctor-patient relationship--the heart of medicine--is broken: doctors are too distracted and overwhelmed to truly connect with their patients, and medical errors and misdiagnoses abound. In Deep Medicine, leading physician Eric Topol reveals how artificial intelligence can help. AI has the potential to transform everything doctors do, from notetaking and medical scans to diagnosis and treatment, greatly cutting down the cost of medicine and reducing human mortality. By freeing physicians from the tasks that interfere with human connection, AI will create space for the real healing that takes place between a doctor who can listen and a patient who needs to be heard.Innovative, provocative, and hopeful, Deep Medicine shows us how the awesome power of AI can make medicine better, for all the humans involved.

    Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.Each chapter will cover a different technique in a spreadsheet so you can follow along: - Mathematical optimization, including non-linear programming and genetic algorithms- Clustering via k-means, spherical k-means, and graph modularity- Data mining in graphs, such as outlier detection- Supervised AI through logistic regression, ensemble models, and bag-of-words models- Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation- Moving from spreadsheets into the R programming languageYou get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.