Similarly, the upward spiral of college tuition fees is cause for serious concern. In this concise and illuminating book, the well-known economist William J. Baumol explores the causes of these seemingly intractable problems and offers a surprisingly simple explanation. Baumol identifies the "cost disease" as a major source of rapidly rising costs in service sectors of the economy. Once we understand that disease, he explains, effective responses become apparent.Baumol presents his analysis with characteristic clarity, tracing the fast-rising prices of health care and education in the United States and other major industrial nations, then examining the underlying causes, which have to do with the nature of providing labor-intensive services. The news is good, Baumol reassures us, because the nature of the disease is such that society will be able to afford the rising costs.

     What does it take to drop ten strokes from your golf score? What part of Tiger Woods’ game makes him a winner? Traditional golf stats can't answer these questions. Broadie, a professor at Columbia Business School, helped the PGA Tour develop its cutting-edge strokes gained putting stat. In this eye-opening new book, Broadie uses analytics from the financial world to uncover the secrets of the game of golf. He crunches mountains of data to show both professional and amateur golfers how to make better decisions on the course.  This eagerly awaited resource is for any player who wants to understand the pros, improve golf skills, and make every shot count.

    We are living in an age where data comes in abundance, and thanks to the self-learning algorithms from the field of machine learning, we can turn this data into knowledge. Automated speech recognition on our smart phones, web search engines, e-mail spam filters, the recommendation systems of our favorite movie streaming services – machine learning makes it all possible.Thanks to the many powerful open-source libraries that have been developed in recent years, machine learning is now right at our fingertips. Python provides the perfect environment to build machine learning systems productively.This book will teach you the fundamentals of machine learning and how to utilize these in real-world applications using Python. Step-by-step, you will expand your skill set with the best practices for transforming raw data into useful information, developing learning algorithms efficiently, and evaluating results.You will discover the different problem categories that machine learning can solve and explore how to classify objects, predict continuous outcomes with regression analysis, and find hidden structures in data via clustering. You will build your own machine learning system for sentiment analysis and finally, learn how to embed your model into a web app to share with the world

    Now, improving the economy has come to be seen as perhaps the most important task facing modern societies. Politics and policymaking are conducted in the language of economics and economic logic shapes how political issues are thought about and addressed. The result is that the majority of citizens, who cannot speak this language, are locked out of politics while political decisions are increasingly devolved to experts. The econocracy explains how economics came to be seen this way - and the damaging consequences. It opens up the discipline and demonstrates its inner workings to the wider public so that the task of reclaiming democracy can begin.

     Greed and excess defined the 1980s, and the sports world was no exception. Shifting from the love of the game to the love of money, athletes made the transition from representing honor and humility to becoming brash and branded. Capturing the stories of headliners who capitalized on this trend, "Bigger Than the Game" charts the rise (and sometimes spectacular fall) of four athletes over the span of one of the most dramatic eras in sports. Meticulously researched, with stirring, you-are-there reporting, "Bigger Than the Game" assembles a cast that includes Jim McMahon, who took the Chicago Bears to Super Bowl glory despite his penchant for partying and his aversion to following the game plan; Brian Boswoth, the university of Oklahoma linebacker who mugged for the cameras while calling the NCAA a communist organization; Bo Jackson, who pursued promising careers in both pro football and baseball; and Len Bias, poised to ensure the Boston Celtics' dominance but died of a cocaine overdose just one day after the draft. Also packed with portraits of folk heroes such as "Refrigerator" Perry and Michael Jordan, "Bigger Than the Game" offers a riveting ride for every sports fan.

    Now available in a revised paperback edition, this classic bestseller can change the way the game of tennis is played.

    Emotions play a powerful role in shaping our financial behavior, often making us our own worst enemies as we try to save, access value, and spend responsibly. In Dollars and Sense, bestselling author and behavioral economist Dan Ariely teams up with financial comedian and writer Jeff Kreisler to challenge many of our most basic assumptions about the precarious relationship between our brains and our money. In doing so, they undermine many of personal finance’s most sacred beliefs and explain how we can override some of our own instincts to make better financial choices.Exploring a wide range of everyday topics—from the lure of pain-free spending with credit cards to the  pitfalls of household budgeting to the seductive power of holiday sales—Ariely and Kreisler demonstrate how our misplaced confidence in our spending habits frequently leads us astray, costing us more than we realize, whether it’s the real value of the time we spend driving forty-five minutes to save $10 or our inability to properly assess what the things we buy are actually worth. Together Ariely and Kreisler reveal the emotional forces working against us and how we can counteract them. Mixing case studies and anecdotes with concrete advice and lessons, they cut through the unconscious fears and desires driving our worst financial instincts and teach us how to improve our money habits.The result not only reveals the rationale behind our most head-scratching financial choices but also offers clear guidance for navigating the treacherous financial landscape of the brain. Fascinating, engaging, funny, and essential, Dollars and Sense provides the practical tools we need to understand and improve our financial choices, save and spend smarter, and ultimately live better.

    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

    Bannon had long sensed that deep within America's soul lurked an explosive tension. Cambridge Analytica had the data to prove it, and in 2016 Bannon had a presidential campaign to use as his proving ground.Christopher Wylie might have seemed an unlikely figure to be at the center of such an operation. Canadian and liberal in his politics, he was only twenty-four when he got a job with a London firm that worked with the U.K. Ministry of Defense and was charged putatively with helping to build a team of data scientists to create new tools to identify and combat radical extremism online. In short order, those same military tools were turned to political purposes, and Cambridge Analytica was born. Wylie's decision to become a whistleblower prompted the largest data crime investigation in history. His story is both exposé and dire warning about a sudden problem born of very new and powerful capabilities. It has not only exposed the profound vulnerabilities and profound carelessness in the enormous companies that drive the attention economy, it has also exposed the profound vulnerabilities of democracy itself. What happened in 2016 was just a trial run. Ruthless actors are coming for your data, and they want to control what you think.

    But many managers can't read a balance sheet, wouldn't recognize a liquidity ratio, and don't know how to calculate return on investment. Worse, they don't have any idea where the numbers come from or how reliable they really are. In Financial Intelligence, Karen Berman and Joe Knight teach the basics of finance--but with a twist. Financial reporting, they argue, is as much art as science. Because nobody can quantify everything, accountants always rely on estimates, assumptions, and judgment calls. Savvy managers need to know how those sources of possible bias can affect the financials and that sometimes the numbers can be challenged. While providing the foundation for a deep understanding of the financial side of business, the book also arms managers with practical strategies for improving their companies' performance--strategies, such as "managing the balance sheet," that are well understood by financial professionals but rarely shared with their nonfinancial colleagues. Accessible, jargon-free, and filled with entertaining stories of real companies, Financial Intelligence gives nonfinancial managers the financial knowledge and confidence for their everyday work. Karen Berman and Joe Knight are the owners of the Los Angeles-based Business Literacy Institute and have trained tens of thousands of managers at many leading organizations. Co-author John Case has written several popular books on management.

    do it? How should you flip your mattress to get the maximum wear out of it? How does Google search the Internet? How many people should you date before settling down? Believe it or not, math plays a crucial role in answering all of these questions and more.Math underpins everything in the cosmos, including us, yet too few of us understand this universal language well enough to revel in its wisdom, its beauty — and its joy. This deeply enlightening, vastly entertaining volume translates math in a way that is at once intelligible and thrilling. Each trenchant chapter of The Joy of x offers an “aha!” moment, starting with why numbers are so helpful, and progressing through the wondrous truths implicit in π, the Pythagorean theorem, irrational numbers, fat tails, even the rigors and surprising charms of calculus. Showing why he has won awards as a professor at Cornell and garnered extensive praise for his articles about math for the New York Times, Strogatz presumes of his readers only curiosity and common sense. And he rewards them with clear, ingenious, and often funny explanations of the most vital and exciting principles of his discipline.Whether you aced integral calculus or aren’t sure what an integer is, you’ll find profound wisdom and persistent delight in The Joy of x.

    This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.You'll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. Along the way, you'll become familiar with distributions, the rules of probability, visualization, and many other tools and concepts.Develop your understanding of probability and statistics by writing and testing codeRun experiments to test statistical behavior, such as generating samples from several distributionsUse simulations to understand concepts that are hard to grasp mathematicallyLearn topics not usually covered in an introductory course, such as Bayesian estimationImport data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics toolsUse statistical inference to answer questions about real-world data

    Clear, comprehensive coverage of utility theory, 2-person zero-sum games, 2-person non-zero-sum games, n-person games, individual and group decision-making, more. Bibliography.

    By presenting actual experiences and analyzing them as they are described, the author conveys the developmental thought processes employed and shows a style of thinking that leads to successful results is something that can be learned. Along with spectacular successes, the author also conveys how failures contributed to shaping the thought processes. Provides the reader with a style of thinking that will enhance a person's ability to function as a problem-solver of complex technical issues. Consists of a collection of stories about the author's participation in significant discoveries, relating how those discoveries came about and, most importantly, provides analysis about the thought processes and reasoning that took place as the author and his associates progressed through engineering problems.

    Even the simplest numbers can become powerful forces when manipulated by politicians or the media, but in the case of the law, your liberty -- and your life -- can depend on the right calculation. In Math on Trial, mathematicians Leila Schneps and Coralie Colmez describe ten trials spanning from the nineteenth century to today, in which mathematical arguments were used -- and disastrously misused -- as evidence. They tell the stories of Sally Clark, who was accused of murdering her children by a doctor with a faulty sense of calculation; of nineteenth-century tycoon Hetty Green, whose dispute over her aunt's will became a signal case in the forensic use of mathematics; and of the case of Amanda Knox, in which a judge's misunderstanding of probability led him to discount critical evidence -- which might have kept her in jail. Offering a fresh angle on cases from the nineteenth-century Dreyfus affair to the murder trial of Dutch nurse Lucia de Berk, Schneps and Colmez show how the improper application of mathematical concepts can mean the difference between walking free and life in prison. A colorful narrative of mathematical abuse, Math on Trial blends courtroom drama, history, and math to show that legal expertise isn't't always enough to prove a person innocent.