Years later, Ma has inspired not only a bestselling novel and hit movie, but has also started three different companies—the latest of which, Citizen Sports, is an innovative marriage of sports, betting, and digital technology—and launched a successful corporate speaking career. The House Advantage reveals Ma's cutting-edge mathematical insights into the world of statistics and makes them applicable to a wide business audience. He argues that numbers are the key to analyzing nearly everything in the world of business, from how to spot and profit from global market inefficiencies to having multiple backup plans in anticipation of every probability. Ma's stories and business lessons are as intriguing as they are universally applicable.

    Graham's philosophy of "value investing" -- which shields investors from substantial error and teaches them to develop long-term strategies -- has made The Intelligent Investor the stock market bible ever since its original publication in 1949.Over the years, market developments have proven the wisdom of Graham's strategies. While preserving the integrity of Graham's original text, this revised edition includes updated commentary by noted financial journalist Jason Zweig, whose perspective incorporates the realities of today's market, draws parallels between Graham's examples and today's financial headlines, and gives readers a more thorough understanding of how to apply Graham's principles.Vital and indispensable, this HarperBusiness Essentials edition of The Intelligent Investor is the most important book you will ever read on how to reach your financial goals.

     Every year, thousands of eager college graduates are hired by the world's financial giants, where they're taught the secrets of making obscene amounts of money-- as well as how to dress, talk, date, drink, and schmooze like real financiers. Young Money is the inside story of this well-guarded world. Kevin Roose, New York magazine business writer and author of the critically acclaimed The Unlikely Disciple, spent more than three years shadowing eight entry-level workers at Goldman Sachs, Bank of America Merrill Lynch, and other leading investment firms. Roose chronicled their triumphs and disappointments, their million-dollar trades and runaway Excel spreadsheets, and got an unprecedented (and unauthorized) glimpse of the financial world's initiation process. Roose's young bankers are exposed to the exhausting workloads, huge bonuses, and recreational drugs that have always characterized Wall Street life. But they experience something new, too: an industry forever changed by the massive financial collapse of 2008. And as they get their Wall Street educations, they face hard questions about morality, prestige, and the value of their work.Young Money is more than an expose of excess; it's the story of how the financial crisis changed a generation-and remade Wall Street from the bottom up.

    But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know.In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you’re familiar with linear algebra, probability, and statistics, and have programming experience, this book is an ideal introduction to data science.Topics include:Statistical inference, exploratory data analysis, and the data science processAlgorithmsSpam filters, Naive Bayes, and data wranglingLogistic regressionFinancial modelingRecommendation engines and causalityData visualizationSocial networks and data journalismData engineering, MapReduce, Pregel, and HadoopDoing Data Science is collaboration between course instructor Rachel Schutt, Senior VP of Data Science at News Corp, and data science consultant Cathy O’Neil, a senior data scientist at Johnson Research Labs, who attended and blogged about the course.

    It’s time we stand face-to-digital-face with the true powers and limitations of the algorithms that already automate important decisions in healthcare, transportation, crime, and commerce. Hello World is indispensable preparation for the moral quandaries of a world run by code, and with the unfailingly entertaining Hannah Fry as our guide, we’ll be discussing these issues long after the last page is turned.

    The author gives an industry insider's perspective on how to conquer the most difficult PM interview questions. Decode and Conquer will reveal: Frameworks for tackling product design and metrics questions, including the CIRCLES Method™, AARM Method™, and DIGS Method™ Biggest mistakes PM candidates make at the interview Decode what interviewers are looking for, why they're looking for it, and how to deliver it Answers to the most important PM interview questions

    With boundless erudition and in delightfully clear prose, Surowiecki ranges across fields as diverse as popular culture, psychology, ant biology, behavioral economics, artificial intelligence, military history, and politics to show how this simple idea offers important lessons for how we live our lives, select our leaders, run our companies, and think about our world.

    * An increased international focus with more coverage of IASC and non-US GAAPs and more non-US examples.

    Wealthy, powerful, and potentially dangerous, hedge fund moguls have become the It Boys of twenty-first ­century capitalism. Ken Griffin of Citadel started out trading convertible bonds from his dorm room at Harvard. Julian Robertson staffed his hedge fund with college athletes half his age, then he flew them to various retreats in the Rockies and raced them up the mountains. Paul Tudor Jones posed for a magazine photograph next to a killer shark and happily declared that a 1929-style crash would be "total rock-and-roll" for him. Michael Steinhardt was capable of reducing underlings to sobs. "All I want to do is kill myself," one said. "Can I watch?" Steinhardt responded. Finance professors have long argued that beating the market is impossible, and yet drawing on insights from physics, economics, and psychology, these titans have cracked the market's mysteries and gone on to earn fortunes. Their innovation has transformed the world, spawning new markets in exotic financial instruments and rewriting the rules of capitalism. More than just a history, More Money Than God is a window on tomorrow's financial system. Hedge funds have been left for dead after past financial panics: After the stock market rout of the early 1970s, after the bond market bloodbath of 1994, after the collapse of Long Term Capital Management in 1998, and yet again after the dot-com crash in 2000. Each time, hedge funds have proved to be survivors, and it would be wrong to bet against them now. Banks such as CitiGroup, brokers such as Bear Stearns and Lehman Brothers, home lenders such as Fannie Mae and Freddie Mac, insurers such as AIG, and money market funds run by giants such as Fidelity-all have failed or been bailed out. But the hedge fund industry has survived the test of 2008 far better than its rivals. The future of finance lies in the history of hedge funds.

    That's what happens to many bloggers. They work hard and create great content, but there's no way their blog will succeed. Why? Because they failed to research their blog topic ahead of time. In "How to Find a Profitable Blog Topic Idea" you'll learn a proven formula for locating a winning idea that merges YOUR personal passion with something that will actually make money. Start Your Blogging Journey... Finding a great niche is one of the first steps you'll take as a blogger. That's why it's important to get it right. Everything you do online depends on locating a topic that actually has profit potential. Fortunately, it's not hard to research a blog niche. Really, it's a simple process that anyone can do - even if you don't have computer experience. Follow the Six-Step Plan for Starting a Blog "How to Find a Profitable Blog Topic Idea" provides a step-by-step strategy that can be applied TODAY. Here's what's covered: Learn the 3 B's of Demonstrating Authority Complete the Four-Step Plan for Identifying Your Passion Use Four Tools to Find a "Hook" for Your Blog Follow the Seven-Step Plan to Determine the Profit Potential of ANY Market Ask Five Simple Questions to Finalize Your Blog Decision Learn How to Make LOTS of Mistakes and Still Succeed as a Blogger It's not hard to find a great blog idea. Just follow this blueprint and you can do it today. Would You Like To Know More? Download now and locate that perfect blog idea.

    Reflecting the need for even minor programming in today's model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work.The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation.By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling.Web ResourceThe book is accompanied by an R package (rethinking) that is available on the author's website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.

    The R language is recognised as one of the most powerful and flexible statistical software packages, and it enables the user to apply many statistical techniques that would be impossible without such software to help implement such large data sets.

    If you're looking for a book like that, put this one back on the shelf.Rework shows you a better, faster, easier way to succeed in business. Read it and you'll know why plans are actually harmful, why you don't need outside investors, and why you're better off ignoring the competition. The truth is, you need less than you think. You don't need to be a workaholic. You don't need to staff up. You don't need to waste time on paperwork or meetings. You don't even need an office. Those are all just excuses.  What you really need to do is stop talking and start working. This book shows you the way. You'll learn how to be more productive, how to get exposure without breaking the bank, and tons more counterintuitive ideas that will inspire and provoke you.With its straightforward language and easy-is-better approach, Rework is the perfect playbook for anyone who’s ever dreamed of doing it on their own. Hardcore entrepreneurs, small-business owners, people stuck in day jobs they hate, victims of "downsizing," and artists who don’t want to starve anymore will all find valuable guidance in these pages.

    We are bombarded with more information each day than our brains can process—especially in election season. It's raining bad data, half-truths, and even outright lies. New York Times bestselling author Daniel J. Levitin shows how to recognize misleading announcements, statistics, graphs, and written reports revealing the ways lying weasels can use them. It's becoming harder to separate the wheat from the digital chaff. How do we distinguish misinformation, pseudo-facts, distortions, and outright lies from reliable information? Levitin groups his field guide into two categories—statistical infomation and faulty arguments—ultimately showing how science is the bedrock of critical thinking. Infoliteracy means understanding that there are hierarchies of source quality and bias that variously distort our information feeds via every media channel, including social media. We may expect newspapers, bloggers, the government, and Wikipedia to be factually and logically correct, but they so often aren't. We need to think critically about the words and numbers we encounter if we want to be successful at work, at play, and in making the most of our lives. This means checking the plausibility and reasoning—not passively accepting information, repeating it, and making decisions based on it. Readers learn to avoid the extremes of passive gullibility and cynical rejection. Levitin's charming, entertaining, accessible guide can help anyone wake up to a whole lot of things that aren't so. And catch some lying weasels in their tracks!

    In Standard Deviations, economics professor Gary Smith walks us through the various tricks and traps that people use to back up their own crackpot theories. Sometimes, the unscrupulous deliberately try to mislead us. Other times, the well-intentioned are blissfully unaware of the mischief they are committing. Today, data is so plentiful that researchers spend precious little time distinguishing between good, meaningful indicators and total rubbish. Not only do others use data to fool us, we fool ourselves.With the breakout success of Nate Silver’s The Signal and the Noise, the once humdrum subject of statistics has never been hotter. Drawing on breakthrough research in behavioral economics by luminaries like Daniel Kahneman and Dan Ariely and taking to task some of the conclusions of Freakonomics author Steven D. Levitt, Standard Deviations demystifies the science behind statistics and makes it easy to spot the fraud all around.