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.

    During that week, you will learn almost everything modern machine learning has to offer. The author and other practitioners have spent years learning these concepts.Companion wiki — the book has a continuously updated wiki that extends some book chapters with additional information: Q&A, code snippets, further reading, tools, and other relevant resources.Flexible price and formats — choose from a variety of formats and price options: Kindle, hardcover, paperback, EPUB, PDF. If you buy an EPUB or a PDF, you decide the price you pay!Read first, buy later — download book chapters for free, read them and share with your friends and colleagues. Only if you liked the book or found it useful in your work, study or business, then buy it.

    This book starts from the ground up to provide detailed explanations of both these techniques: - An introduction to the different types of execution is followed by a review of market microstructure theory. Throughout the book examples from empirical studies bridge the gap between the theory and practice of trading. - Orders are the fundamental building blocks for any strategy. Market, limit, stop, hidden, iceberg, peg, routed and immediate-or-cancel orders are all described with illustrated examples. - Trading algorithms are explained and compared using charts to show potential trading patterns. TWAP, VWAP, Percent of Volume, Minimal Impact, Implementation Shortfall, Adaptive Shortfall, Market On Close and Pairs trading algorithms are all covered, together with common variations. - Transaction costs can have a significant effect on investment returns. An in-depth example shows how these may be broken down into constituents such as market impact, timing risk, spread and opportunity cost and other fees. - Coverage includes all the major asset classes, from equities to fixed income, foreign exchange and derivatives. Detailed overviews for each of the world's major markets are provided in the appendices. - Order placement and execution tactics are covered in more detail, as well as potential enhancements (such as short-term forecasts), for those interested in the specifics of implementing these strategies. - Cutting edge applications such as portfolio and multi-asset trading are also considered, as are handling news and data mining/artificial intelligence.

    This ninth edition has been completely revised and updated to cover the full range of small investing--from selecting a bank to saving for college and retirement to making sense of financial pages. Step-by-step instructions guide even the most inexperienced investor through the maze of stocks, bonds, treasuries, mutual funds, and more, with new sections on how to recognize a swindle or scam; what to do when fired; ten sources of instant cash; and the top 25 online financial Web sites. These low-risk, high-value tips are perfect for every investor.

    A strategy simple enough for anyone to understand and one that runs on "autopilot" once it's set up.

    Many retirees or soon-to-be retirees have heard a plethora of advice. Take 100 (or 120) and subtract your age to get your equity allocation, put the rest in bonds or cash. Buy only bonds. Buy only high dividend stocks. Or some combination! Buy equity-indexed annuities or some "guaranteed" income product. All examples of a potentially harmful myth many folks believe to be smart, strategic moves.Investors believe preparing for retirement requires a radically different set of tools or a dizzying array of products. Navigating the world of retirement products and services can be a full-time job. But investing for retirement is, in practice, not much (if at all) different from investing. In Your Retirement Plan, Ken Fisher will give readers a workable strategy to either develop their own retirement investing plan or work more successfully with a professional to increase the likelihood of achieving long-term goals while avoiding common pitfalls. The book will include easy-to-follow steps likeHow to think, correctly, about investing time horizon. How to better figure how much income you need How to determine if a portfolio can provide that income How to figure how much to save each year to achieve retirement goals What pitfalls to avoid And more. . . . In this retirement planning book that's not just for retirees, Fisher will hand readers the tools and confidence they need to better plan for the future.

    Russ Roberts argues that the true underlying cause of the mess was the past bailouts of large financial institutions that allowed these institutions to gamble carelessly because they were effectively using other people’s money. The author warns that despite the passage of Dodd-Frank, it is widely believed that we have done nothing to eliminate ‘Too Big to Fail.’ That perception allows the largest financial institutions to continue to gamble with taxpayer money.

    It presents the important traditional content of mineralogy including crystallography, chemical bonding, controls on mineral structure, mineral stability, and crystal growth to provide a foundation that enables students to understand the nature and occurrence of minerals. Physical, optical, and X-ray powder diffraction techniques of mineral study are described in detail, and common chemical analytical methods are outlined as well. Detailed descriptions of over 100 common minerals are provided, and the geologic context within which these minerals occur is emphasized. Appendices provide tables and diagrams to help students with mineral identification, using both physical and optical properties. Numerous line drawings, photographs, and photomicrographs help make complex concepts understandable. Introduction to Mineralogy not only provides specific knowledge about minerals but also helps students develop the intellectual tools essential for a solid, scientific education. This comprehensive text is useful for undergraduate students in a wide range of mineralogy courses.

    He has the bankwide oversight on all quantitative research and the development of new products and applications supporting the trading and structuring businesses. Dan Galai, Ph.D., is the Abe Gray Professor of Banking and Finance at The Hebrew University. He is a co-CEO of Sigma PCM, an investment banking firm. Galai has consulted for the Chicago Board Options Exchange and the American Stock Exchange, and for many major banks and corporations. Robert M. Mark Ph.D., is the Chief Executive Officer of Black Diamond, which provides corporate governance, risk management consulting, and transaction services. He is the chairperson of The Professional Risk Managers' International Association's (PRMIA) Blue Ribbon Panel. He was awarded the Financial Risk Manager of the Year by the Global Association of Risk Professionals (GARP).

    But, actually, this isn't the case at all. In fact, these super-rich individuals realize that their money needs to work for them and so they learn how to take what are known as "calculated" risks. The super-rich are definitely not psychics, nor do they have a "magic" secret that they hold close to their own kind. In fact, their real secret lies in the fact that they know what simple investing mistakes should be avoided. And, in truth, these mistakes are common knowledge, even among those investors who are not particularly wealthy at all. Investing properly is a guided, purposeful tool for building and adding to wealth, but it is not only for the rich. Actually, anyone can get started quite easily, and there are multiple avenues that make it easy to begin, with small amounts to start up a portfolio. Additionally, what differentiates using investment (as opposed to gambling) is that it takes a period of time for the "magic" to happen. Therefore, it is not a get-rich-quick scheme, at all. I want us to be clear on that point from the get-go. By the end of this book, you'll have a great understanding of what investing is, and you will know how the magic of compounding works too. We'll take a look at other options that you might find useful, so then you'll have the knowledge you need before you get started with your own investing. Again, thank you for joining me here; it's my pleasure to guide you through this important information. I believe that knowledge is power, and I hope that you'll feel more comfortable once you get the real gist of how it all works, and how it can work really well for you.

    Valuation provides up-to-date insights and practical advice on how to create, manage, and measure an organization's value. Along with all-new case studies that illustrate how valuation techniques and principles are applied in real-world situations, this comprehensive guide has been updated to reflect the events of the Internet bubble and its effect on stock markets, new developments in academic finance, changes in accounting rules (both U. S. and IFRS), and an enhanced global perspective. This edition contains the solid framework that managers at all levels, investors, and students have come to trust.

    This is the 12th edition of 'Marketing Management' which preserves the strengths of previous editions while introducing new material and structure to further enhance learning.

    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

    It is also updated to reflect the latest in theory, research, real-world examples, and use of technology. The seamless, integrated ancillary package - done by the authors - is a hallmark of this package that makes the subject more accessible for learners.

    Along the way, rather than taking boring notes that he would never read (nor use) again, Jason created sketch notes for each class—visually capturing the essential points of his education—and providing an engaging and invaluable resource.   Once finished with his MBA, Jason launched a widely successful Kickstarter campaign distilling these same notes into a self-published book to help aspiring business leaders of all backgrounds and income levels understand the critical concepts one learns in business school.   Whether you are thinking about applying to business school, are currently in college studying business, or have always wondered what is taught in an MBA program, this highly entertaining and visual book is for you.