The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo MCMC. Additional application areas explored include genetics, medicine, computer science, and information theory. The print book version includes a code that provides free access to an eBook version. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment.

    In Confessions of a Subprime Lender: An Insider's Tale of Greed, Fraud, and Ignorance, he reveals the truth about how the subprime lending business spiraled out of control, pushed home prices to unsustainable levels, and turned unqualified applicants into qualified borrowers through creative financing. Learn about the ways the mortgage industry can be fixed with his twenty suggestions for critical change.

    Concepts and techniques included in the chapters and problem sets are used in many careers related to real estate. The material in this edition is also relevant to individuals who want to better understand real estate for their own personal investment and financing decisions.The Fourteenth Edition is designed to help students learn how to evaluate the risk and return associated with the various ways of investing and lending. Upcoming students who are interested in this field can use this book as a guide to perform the right kind of analysis to make informed real estate finance and investment decisions.

    Written by an investor with a long and remarkable track record, it shares for the first time the ins and outs of finding high-potential undervalued stocks before anyone else.Deep value investing means finding companies that are genuine bargains that can pay back phenomenally over the long term. They are firms so cheap that even if they were to close tomorrow their assets would pay you out at a profit. But if they can turn things around, the rewards will be many times greater ...These were the favourite shares of Benjamin Graham, author of 'The Intelligent Investor'. Inspired by Graham's classic and with a long history of discovering these great value stocks - sometimes known as 'bargain issues' or 'netnets' - author and investor Jeroen Bos reveals:- how to use only publicly available information to discover these shares and filter the gold from the dross- everything he did when analysing, purchasing, monitoring and selling more than ten recent successful deep value investments- the complete philosophy behind deep value investing, and the ins and outs of this strategy in practice- what can go wrong and how to minimise the chances of it happening to you.Deep value investing has a better track record than almost any other approach to the market. Even better, it doesn't require minute and technical knowledge of a company, nor is it fixated on earnings or often-unreliable future projections.It's all about the balance sheet and patience. This makes it the perfect investing approach for those who want to see phenomenal stock market returns without wasting time or commission costs.

    The Asylum is a stunning exposé by a seasoned Wall Street journalist that once and for all reveals the truth behind America’s oil addiction in all its unscripted and dysfunctional glory.In the tradition of Too Big to Fail and Liar’s Poker, author Leah McGrath Goodman tells the amazing-but-true story of a band of struggling, hardscrabble traders who, after enduring decades of scorn from New York’s stuffy financial establishment, overcame more than a century of failure, infighting, and brinksmanship to build the world’s reigning oil empire—entirely by accident.

    Throughout the book the authors show how managers use financial theory to solve practical problems and as a way of learning how to respond to change by showing not just how but why companies and management act as they do. The text is comprehensive, authoritative, and modern and yet the material is presented at a common sense level. The discussions and illustrations are unique due to the depth of detail blended with a distinct sense of humor for which the book is well known and highly regarded. This text is a valued reference for thousands of practicing financial managers.

    One of the best young portfolio managers on Wall Street, and helping to run the hedge fund operation of one of the world's most prestigious firms, Keith McCullough finds himself a lone voice of reason as the economic crisis of 2008 looms large. Shown the door, his life takes a fascinating turn into the world of independent research and no-holds-barred criticism.Reveals the unvarnished truth of how Wall Street and hedge funds really operate Deftly details how to analyze the markets expertly and avoid group think using technical and fundamental measures Each topic is thoroughly discussed and followed up with lessons you can take away and put to use Written with the authority of someone who knows how Wall Street and hedge funds work, yet accessible to even a casual follower of finance, Diary of a Hedge Fund Manager mixes a constructive critique of the investment industry with fundamental lessons that any investor will find valuable.

    Two primary objectives guided the authors in the revision of this book: to develop precise, readable materials for students that clearly define and demonstrate concepts and rules of calculus; and to design comprehensive teaching resources for instructors that employ proven pedagogical techniques and save time. The Larson/Hostetler/Edwards Calculus program offers a solution to address the needs of any calculus course and any level of calculus student. Every edition from the first to the fourth of Calculus: Early Transcendental Functions, 4/e has made the mastery of traditional calculus skills a priority, while embracing the best features of new technology and, when appropriate, calculus reform ideas. Now, the Fourth Edition is part of the first calculus program to offer algorithmic homework and testing created in Maple so that answers can be evaluated with complete mathematical accuracy.

    Non- mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics. Dr. Kuhn is a Director of Non-Clinical Statistics at Pfizer Global R&D in Groton Connecticut. He has been applying predictive models in the pharmaceutical and diagnostic industries for over 15 years and is the author of a number of R packages. Dr. Johnson has more than a decade of statistical consulting and predictive modeling experience in pharmaceutical research and development. He is a co-founder of Arbor Analytics, a firm specializing in predictive modeling and is a former Director of Statistics at Pfizer Global R&D. His scholarly work centers on the application and development of statistical methodology and learning algorithms. Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. Addressing practical concerns extends beyond model fitting to topics such as handling class imbalance, selecting predictors, and pinpointing causes of poor model performance-all of which are problems that occur frequently in practice. The text illustrates all parts of the modeling process through many hands-on, real-life examples. And every chapter contains extensive R code f

    And if you follow the guidelines of this proven system of sacrifice and discipline, you can be debt free, and begin to enjoy your life like never before. I want to make a promise to you today, if you follow this system and these guidelines. You can be debt free, begin saving, and invest like you never have before. You will build amazing wealth. However all of this is up to you, do you want all of that? Well take the first step today. "If you will live like no one else, later you can live like no one else." Here Is A Preview Of the Book... Don’t be in denial Beware of credit cards Start with baby steps Cure your debt fast Investing for retirement and college The three good things with money Much, Much more

    Conventional wisdom long held that big name, highly athletic hitters and young pitchers with rocket arms were the ticket to success. But Beane and his staff, buoyed by massive amounts of carefully interpreted statistical data, believed that wins could be had by more affordable methods such as hitters with high on-base percentage and pitchers who get lots of ground outs. Given this information and a tight budget, Beane defied tradition and his own scouting department to build winning teams of young affordable players and inexpensive castoff veterans. Lewis was in the room with the A's top management as they spent the summer of 2002 adding and subtracting players and he provides outstanding play-by-play. In the June player draft, Beane acquired nearly every prospect he coveted (few of whom were coveted by other teams) and at the July trading deadline he engaged in a tense battle of nerves to acquire a lefty reliever. Besides being one of the most insider accounts ever written about baseball, Moneyball is populated with fascinating characters. We meet Jeremy Brown, an overweight college catcher who most teams project to be a 15th round draft pick (Beane takes him in the first). Sidearm pitcher Chad Bradford is plucked from the White Sox triple-A club to be a key set-up man and catcher Scott Hatteberg is rebuilt as a first baseman. But the most interesting character is Beane himself. A speedy athletic can't-miss prospect who somehow missed, Beane reinvents himself as a front-office guru, relying on players completely unlike, say, Billy Beane. Lewis, one of the top nonfiction writers of his era (Liar's Poker, The New New Thing), offers highly accessible explanations of baseball stats and his roadmap of Beane's economic approach makes Moneyball an appealing reading experience for business people and sports fans alike. --John Moe

    Pensions have almost completely disappeared and the financial future of Social Security has many worried. This book shows you how to take control of your own future by teaching you the fundamentals of investing.Many people are afraid to put their hard earned money in the stock market because they don’t want to lose it all. This book shows you how to invest your money for growth instead of treating the stock market like a slot machine and just hoping to get lucky. Inside the book you will discover: The basics of what the stock market is and how it works The differences between passive and active investing The differences between stocks, bonds, and cash All about mutual funds and other types of funds What you need to know about the economy to make good investments How to plan for retirement All about risk And Much More This quick start guide will help you go from knowing very little about investing to being confident in starting your own investment in your retirement.If you are looking for a get rich quick scheme, this book isn’t for you. But, if you want to learn about how to invest and the best ways to plan for your retirement, this book will start you on the path of taking control of your own future.The sooner you get your copy, the sooner you can start your personal investment education. Don’t wait another second. Get Your Copy Right Now

    Such systems--whether political parties, stock markets, or ant colonies--present some of the most intriguing theoretical and practical challenges confronting the social sciences. Engagingly written, and balancing technical detail with intuitive explanations, Complex Adaptive Systems focuses on the key tools and ideas that have emerged in the field since the mid-1990s, as well as the techniques needed to investigate such systems. It provides a detailed introduction to concepts such as emergence, self-organized criticality, automata, networks, diversity, adaptation, and feedback. It also demonstrates how complex adaptive systems can be explored using methods ranging from mathematics to computational models of adaptive agents. John Miller and Scott Page show how to combine ideas from economics, political science, biology, physics, and computer science to illuminate topics in organization, adaptation, decentralization, and robustness. They also demonstrate how the usual extremes used in modeling can be fruitfully transcended.

    Its techniques are widely applied in engineering, science, finance, and commerce. This book is designed for a short course on machine learning. It is a short course, not a hurried course. From over a decade of teaching this material, we have distilled what we believe to be the core topics that every student of the subject should know. We chose the title `learning from data' that faithfully describes what the subject is about, and made it a point to cover the topics in a story-like fashion. Our hope is that the reader can learn all the fundamentals of the subject by reading the book cover to cover. ---- Learning from data has distinct theoretical and practical tracks. In this book, we balance the theoretical and the practical, the mathematical and the heuristic. Our criterion for inclusion is relevance. Theory that establishes the conceptual framework for learning is included, and so are heuristics that impact the performance of real learning systems. ---- Learning from data is a very dynamic field. Some of the hot techniques and theories at times become just fads, and others gain traction and become part of the field. What we have emphasized in this book are the necessary fundamentals that give any student of learning from data a solid foundation, and enable him or her to venture out and explore further techniques and theories, or perhaps to contribute their own. ---- The authors are professors at California Institute of Technology (Caltech), Rensselaer Polytechnic Institute (RPI), and National Taiwan University (NTU), where this book is the main text for their popular courses on machine learning. The authors also consult extensively with financial and commercial companies on machine learning applications, and have led winning teams in machine learning competitions.