stock market has been rigged for the benefit of insiders. They band together—some of them walking away from seven-figure salaries—to investigate, expose, and reform the insidious new ways that Wall Street generates profits. If you have any contact with the market, even a retirement account, this story is happening to you.

    Now that machine learning is thriving, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn how to use a range of techniques, starting with simple Linear Regression and progressing to Deep Neural Networks. If you have some programming experience and you’re ready to code a machine learning project, this guide is for you.This hands-on book shows you how to use:Scikit-Learn, an accessible framework that implements many algorithms efficiently and serves as a great machine learning entry pointTensorFlow, a more complex library for distributed numerical computation, ideal for training and running very large neural networksPractical code examples that you can apply without learning excessive machine learning theory or algorithm details

    Polya, How to Solve It will show anyone in any field how to think straight. In lucid and appealing prose, Polya reveals how the mathematical method of demonstrating a proof or finding an unknown can be of help in attacking any problem that can be reasoned out--from building a bridge to winning a game of anagrams. Generations of readers have relished Polya's deft--indeed, brilliant--instructions on stripping away irrelevancies and going straight to the heart of the problem.

    . . and grow rich!The bestselling author of Investment Biker is back from the ultimate road trip: a three-year drive around the world that would ultimately set the Guinness record for the longest continuous car journey. In Adventure Capitalist, legendary investor Jim Rogers, dubbed “the Indiana Jones of finance” by Time magazine, proves that the best way to profit from the global situation is to see the world mile by mile. “While I have never patronized a prostitute,” he writes, “I know that one can learn more about a country from speaking to the madam of a brothel or a black marketeer than from meeting a foreign minister.”Behind the wheel of a sunburst-yellow, custom-built convertible Mercedes, Rogers and his fiancée, Paige Parker, began their “Millennium Adventure” on January 1, 1999, from Iceland. They traveled through 116 countries, including many where most have rarely ventured, such as Saudi Arabia, Myanmar, Angola, Sudan, Congo, Colombia, and East Timor. They drove through war zones, deserts, jungles, epidemics, and blizzards. They had many narrow escapes.They camped with nomads and camels in the western Sahara. They ate silkworms, iguanas, snakes, termites, guinea pigs, porcupines, crocodiles, and grasshoppers.Best of all, they saw the real world from the ground up—the only vantage point from which it can be truly understood—economically, politically, and socially.Here are just a few of the author’s conclusions: • The new commodity bull market has started.• The twenty-first century will belong to China.• There is a dramatic shortage of women developing in Asia.• Pakistan is on the verge of disintegrating.• India, like many other large nations, will break into several countries.• The Euro is doomed to fail.• There are fortunes to be made in Angola.• Nongovernmental organizations (NGOs) are a scam.• Bolivia is a comer after decades of instability, thanks to gigantic amounts of natural gas.Adventure Capitalist is the most opinionated, sprawling, adventurous journey you’re likely to take within the pages of a book—the perfect read for armchair adventurers, global investors, car enthusiasts, and anyone interested in seeing the world and understanding it as it really is.

    In 1967, they said the USSR would have one of the fastest-growing economies in the year 2000; in 2000, the USSR did not exist. In 1911, it was pronounced that there would be no more wars in Europe; we all know how that turned out. Face it, experts are about as accurate as dart-throwing monkeys. And yet every day we ask them to predict the future — everything from the weather to the likelihood of a catastrophic terrorist attack. Future Babble is the first book to examine this phenomenon, showing why our brains yearn for certainty about the future, why we are attracted to those who predict it confidently, and why it’s so easy for us to ignore the trail of outrageously wrong forecasts.In this fast-paced, example-packed, sometimes darkly hilarious book, journalist Dan Gardner shows how seminal research by UC Berkeley professor Philip Tetlock proved that pundits who are more famous are less accurate — and the average expert is no more accurate than a flipped coin. Gardner also draws on current research in cognitive psychology, political science, and behavioral economics to discover something quite reassuring: The future is always uncertain, but the end is not always near.

    Though within the scientific community a certain stigma is attached to chance discovery because it is wrongly seen as pure luck, happy accidents happen every day and Meyers shows how it takes intelligence, insight, and creativity to recognize a "Eureka! I found what I wasn't look for!" moment and know what to do next. Penicillin, chemotherapy drugs, X-rays, Valium, the Pap smear, and Viagra were all discovered accidentally, stumbled upon in search of something else. In discussing these medical breakthroughs and others, Dr. Meyers makes a cogent, highly engaging argument for a more creative, rather than purely linear, approach to science.

    But many people use data in ways they don't even understand, meaning they aren't getting the most from it. Bayesian Statistics the Fun Way will change that.This book will give you a complete understanding of Bayesian statistics through simple explanations and un-boring examples. Find out the probability of UFOs landing in your garden, how likely Han Solo is to survive a flight through an asteroid shower, how to win an argument about conspiracy theories, and whether a burglary really was a burglary, to name a few examples.By using these off-the-beaten-track examples, the author actually makes learning statistics fun. And you'll learn real skills, like how to:- How to measure your own level of uncertainty in a conclusion or belief- Calculate Bayes theorem and understand what it's useful for- Find the posterior, likelihood, and prior to check the accuracy of your conclusions- Calculate distributions to see the range of your data- Compare hypotheses and draw reliable conclusions from themNext time you find yourself with a sheaf of survey results and no idea what to do with them, turn to Bayesian Statistics the Fun Way to get the most value from your data.

    The Sovereign Individual details strategies necessary for adapting financially to the next phase of Western civilization. Few observers of the late twentieth century have their fingers so presciently on the pulse of the global political and economic realignment ushering in the new millennium as do James Dale Davidson and Lord William Rees-Mogg. Their bold prediction of disaster on Wall Street in Blood in the Streets was borne out by Black Tuesday. In their ensuing bestseller, The Great Reckoning, published just weeks before the coup attempt against Gorbachev, they analyzed the pending collapse of the Soviet Union and foretold the civil war in Yugoslavia and other events that have proved to be among the most searing developments of the past few years. In The Sovereign Individual, Davidson and Rees-Mogg explore the greatest economic and political transition in centuries—the shift from an industrial to an information-based society. This transition, which they have termed "the fourth stage of human society," will liberate individuals as never before, irrevocably altering the power of government. This outstanding book will replace false hopes and fictions with new understanding and clarified values.

    Each self-contained chapter consists of three sections. The first describes the statistic, including how it is used and what information it provides. The second section reviews how it works, how to calculate the formula, the strengths and weaknesses of the technique, and the conditions needed for its use. The final section provides examples that use and interpret the statistic. A glossary of terms and symbols is also included.New features in the second edition include:an interactive CD with PowerPoint presentations and problems for each chapter including an overview of the problem's solution; new chapters on basic research concepts including sampling, definitions of different types of variables, and basic research designs and one on nonparametric statistics; more graphs and more precise descriptions of each statistic; and a discussion of confidence intervals.This brief paperback is an ideal supplement for statistics, research methods, courses that use statistics, or as a reference tool to refresh one's memory about key concepts. The actual research examples are from psychology, education, and other social and behavioral sciences.Materials formerly available with this book on CD-ROM are now available for download from our website www.psypress.com. Go to the book's page and look for the 'Download' link in the right-hand column.

    With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it.Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains:Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm Optimization algorithms that search millions of possible solutions to a problem and choose the best one Bayesian filtering, used in spam filters for classifying documents based on word types and other features Using decision trees not only to make predictions, but to model the way decisions are made Predicting numerical values rather than classifications to build price models Support vector machines to match people in online dating sites Non-negative matrix factorization to find the independent features in a dataset Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details."-- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths."-- Tim Wolters, CTO, Collective Intellect

    It can be freely downloaded and it works on multiple computer platforms. This book provides an elementary introduction to R. In each chapter, brief introductory sections are followed by code examples and comments from the computational and statistical viewpoint. A supplementary R package containing the datasets can be downloaded from the web.

    While many of the mathematicians and software engineers on Wall Street failed when their abstractions turned ugly in practice, a special breed of physicists has a much deeper history of revolutionizing finance. Taking us from fin-de-siècle Paris to Rat Pack-era Las Vegas, from wartime government labs to Yippie communes on the Pacific coast, Weatherall shows how physicists successfully brought their science to bear on some of the thorniest problems in economics, from options pricing to bubbles.The crisis was partly a failure of mathematical modeling. But even more, it was a failure of some very sophisticated financial institutions to think like physicists. Models—whether in science or finance—have limitations; they break down under certain conditions. And in 2008, sophisticated models fell into the hands of people who didn’t understand their purpose, and didn’t care. It was a catastrophic misuse of science.The solution, however, is not to give up on models; it's to make them better. Weatherall reveals the people and ideas on the cusp of a new era in finance. We see a geophysicist use a model designed for earthquakes to predict a massive stock market crash. We discover a physicist-run hedge fund that earned 2,478.6% over the course of the 1990s. And we see how an obscure idea from quantum theory might soon be used to create a far more accurate Consumer Price Index.Both persuasive and accessible, The Physics of Wall Street is riveting history that will change how we think about our economic future.

    And now, in this highly accessible guide, he’s going to show you how to do it, too. You’re about to discover investment opportunities that portfolio managers, business-school professors, and top investment experts regularly miss—uncharted areas where the individual investor has a huge advantage over the Wall Street wizards. Here is your personal treasure map to special situations in which big profits are possible, including: -Spin-offs -Restructurings -Merger Securities -Rights Offerings -Recapitalizations -Bankruptcies -Risk Arbitrage Prepared with the tools from this guide, it won’t be long until you’re a stock market genius!

    Now astrophysicist John Gribbin draws on his expertise to explore, in prose that communicates not only the wonder but the substance of cutting-edge science, the principles behind chaos and complexity. He reveals the remarkable ways these two revolutionary theories have been applied over the last twenty years to explain all sorts of phenomena–from weather patterns to mass extinctions.Grounding these paradigm-shifting ideas in their historical context, Gribbin also traces their development from Newton to Darwin to Lorenz, Prigogine, and Lovelock, demonstrating how–far from overturning all that has gone before–chaos and complexity are the triumphant extensions of simple scientific laws. Ultimately, Gribbin illustrates how chaos and complexity permeate the universe on every scale, governing the evolution of life and galaxies alike.

    In this entertaining and ingenious book, Blastland reveals how in our quest to make the world more understandable, we lose sight of how unexplainable it often is. The result - from GDP figures to medicine - is that experts know a lot less than they think. Filled with compelling stories from economics, genetics, business, and science, The Hidden Half is a warning that an explanation which works in one arena may not work in another. Entertaining and provocative, it will change how you view the world.