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 proposes enlightening similarities between, for instance, maneuvering in limited war and in a traffic jam; deterring the Russians and one's own children; the modern strategy of terror and the ancient institution of hostages.

    What sets this book apart from many others in the space is the emphasis on real examples as opposed to just theory. Concepts are not only described, they are brought to life with actual trading strategies, which give the reader insight into how and why each strategy was developed, how it was implemented, and even how it was coded. This book is a valuable resource for anyone looking to create their own systematic trading strategies and those involved in manager selection, where the knowledge contained in this book will lead to a more informed and nuanced conversation with managers."--DAREN SMITH, CFA, CAIA, FSA, President and Chief Investment Officer, University of Toronto Asset Management"Using an excellent selection of mean reversion and momentum strategies, Ernie explains the rationale behind each one, shows how to test it, how to improve it, and discusses implementation issues. His book is a careful, detailed exposition of the scientific method applied to strategy development. For serious retail traders, I know of no other book that provides this range of examples and level of detail. His discussions of how regime changes affect strategies, and of risk management, are invaluable bonuses."--Roger Hunter, Mathematician and Algorithmic Trader

    

    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.

    What hasn't changed, however, are the basics behind creating a powerful visual - what to say, why to say it, and how to say it for the most impact. In Say It With Charts, Fourth Edition --the latest, cutting-edge edition of his best-selling presentation guide -- Gene Zelazny reveals time-tested tips for preparing effective presentations. Then, this presentation guru shows you how to combine those tips with today's hottest technologies for sharper, stronger visuals. Look to this comprehensive presentation encyclopedia for information on:* How to prepare different types of charts -- pie, bar, column, line, or dot -- and when to use each * Lettering size, color choice, appropriate chart types, and more * Techniques for producing dramatic eVisuals using animation, scanned images, sound, video, and links to pertinent websites

     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.

     Because these bonds serve as the foundation of our current financial system, when they are in a bubble, it means that all risk assets (truly EVERYTHING), are in a bubble, hence our title, The Everything Bubble. In this sense, the Everything Bubble represents the proverbial end game for central bank policy: the final speculative frenzy induced by Federal Reserve overreach. The Everything Bubble book is the result of over a decade of research and analysis of the financial markets and economy by noted investment analyst, Graham Summers, MBA. As such, this book is intended for anyone who wants to understand how the US financial system truly operates as well as those interested in the Federal Reserve’s future policy responses when the Everything Bubble bursts. To that end, The Everything Bubble is divided into two sections: How We Got Here and What’s to Come. Combined, these sections represent a blueprint for all things finance and money-related in the United States. This knowledge is now yours.

    By presenting basic concepts of economic theory with ideas in modern strategy literature, the book provides an economic lens for viewing the broad sweep of the strategic activities of the firm. The book begins by focusing on the boundaries of the firm and examines competitive strategy from the perspective of industrial organization (IO) economics, particularly Porter's Five Forces. It then explores strategic positioning and dynamics as well as topics associated with internal organization, including personnel economics, organization structure, and strategic fit. Features of the Fourth Edition * Chapters on human resources management, entry, positioning, dynamics, technological change, and organizational structure are substantially revised. * An updated chapter on business history covers the recent dot-com bubble. * Presents economic principles without overemphasizing the math. * Rigorous treatment of organizational topics such as structure and culture enables you to experience the full scope of strategic thinking. * The authors use Porter's Five Forces as a tool for organizing industry analysis, building on the coverage of industrial organization and game theory. The text also considers the Value Net, another tool for organizing industry analysis. * Includes coverage of make or buy decisions (Chapters 2-4) and benefit and cost advantage and sustaining advantage (Chapters 11-13). * Fascinating examples, including many new to this edition, bring the economic models to life. Many of the examples involve businesses outside of the United States.

    If it takes a book to get it across, I hope this book will do it. It ought to.”—Thomas Schelling, Distinguished University Professor, School of Public Policy, University of Maryland, and 2005 Nobel Prize Laureate in Economics “With humor, insight, piercing logic and a nod to history, Ziliak and McCloskey show how economists—and other scientists—suffer from a mass delusion about statistical analysis. The quest for statistical significance that pervades science today is a deeply flawed substitute for thoughtful analysis. . . . Yet few participants in the scientific bureaucracy have been willing to admit what Ziliak and McCloskey make clear: the emperor has no clothes.”—Kenneth Rothman, Professor of Epidemiology, Boston University School of Health The Cult of Statistical Significance shows, field by field, how “statistical significance,” a technique that dominates many sciences, has been a huge mistake. The authors find that researchers in a broad spectrum of fields, from agronomy to zoology, employ “testing” that doesn’t test and “estimating” that doesn’t estimate. The facts will startle the outside reader: how could a group of brilliant scientists wander so far from scientific magnitudes? This study will encourage scientists who want to know how to get the statistical sciences back on track and fulfill their quantitative promise. The book shows for the first time how wide the disaster is, and how bad for science, and it traces the problem to its historical, sociological, and philosophical roots. Stephen T. Ziliak is the author or editor of many articles and two books. He currently lives in Chicago, where he is Professor of Economics at Roosevelt University. Deirdre N. McCloskey, Distinguished Professor of Economics, History, English, and Communication at the University of Illinois at Chicago, is the author of twenty books and three hundred scholarly articles. She has held Guggenheim and National Humanities Fellowships. She is best known for How to Be Human* Though an Economist (University of Michigan Press, 2000) and her most recent book, The Bourgeois Virtues: Ethics for an Age of Commerce (2006).

      APPROACH: Atkinson is a  managerially-oriented book that focuses on both quantitative and qualitative aspects of classical and contemporary managerial accounting.   COMPETITORS: Garrison, MH;

    This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way. You’ll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

    Visually engaging, enticing and current examples with an overall focus on business.Legal Environment of Business and E-Commerce; Torts, Crimes, and Intellectual Property; Contracts and E-Commerce; Domestic and International Sales and Lease Contracts; Negotiable Instruments and E-Money; Credit, Secured Transactions, and Bankruptcy; Agency and Employment; Business Organizations and Ethics; Government Regulation; Property; Special Topics; Global EnvironmentMARKET Business Law continues its dedication to being the most engaging text for readers by featuring a visually appealing format with enticing and current examples while maintaining its focus on business.

    This text provides a simple and straightforward introduction to econometrics for the beginner. The book is designed to help students understand econometric techniques through extensive examples, careful explanations, and a wide variety of problem material. In each of the editions, I have tried to incorporate major developments in the field in an intuitive and informative way without resort to matrix algebra, calculus, or statistics beyond the introductory level. The fourth edition continues that tradition.

    It stresses the economic intuition behind the subject matter while presenting advanced concepts of investment analysis and portfolio management. Readers will also discover the strengths and weaknesses of modern portfolio theory as well as the latest breakthroughs.