Lessons from the Greatest Stock Traders of All Time makes the choice simple, examining the careers of five traders--Jesse Livermore, Bernard Baruch, Gerald Loeb, Nicolas Darvas, and Bill O'Neil--who, more than any others over the past century, demonstrated tremendous success at conquering Wall Street.This technique-filled book presents numerous ways in which the timeless strategies of these investing icons can be used to tame today's high-speed, unforgiving marketplaces. Comparing and contrasting the successes--and occasional failures--of these five giants of finance, it reveals:What Jesse Livermore did to correctly call every market break between 1917 and 1940How Bill O'Neil stuck to basics to create his famously effective CANSLIM systemThe strategies Nicolas Darvas used to become a self-made millionaire several times over

    If You Don't Have Kindle You Can Still Read This Book On Your Web Browser using Amazon Free Cloud Reader This book contains proven steps and strategies on how to communicate using the basics of the Spanish language. Divided into 10 chapters (one chapter per day), this book is designed to provide a step by step learning guide on Spanish grammar, vocabulary, and pronunciation. Plus, it features a series of useful common everyday expressions. This book is written in a conversational style that’s easy to follow and understand. After reading this book, you’ll never have to say “No hablo Español” ever again! Here Is A Preview Of What You'll Learn After Downloading Spanish For Beginners The Spanish Alphabet (El Alfabeto Español) Saludos y Expresiones (Greetings & Expressions) Basic Vocabulary Spanish Plurals Gender Capitalization Artículos (Articles) Pronombres (Pronouns) El Verbos (Verbs) Adjetivos españoles (Spanish Adjectives) Much, much more! Take Action Right Away and START your journey with Spanish! Download your copy today for just $2.99!

    Each chapter includes many illustrative examples to assist the reader. The book emphasizes methods for finding solutions to differential equations. It provides many abundant exercises, applications, and solved examples with careful attention given to readability. Elementary Differential Equations includes a thorough treatment of power series techniques. In addition, the book presents a classical treatment of several physical problems to show how Fourier series become involved in the solution of those problems. The eighth edition of Elementary Differential Equations has been revised to include a new supplement in many chapters that provides suggestions and exercises for using a computer to assist in the understanding of the material in the chapter. It also now provides an introduction to the phase plane and to different types of phase portraits. A valuable reference book for readers interested in exploring the technological and other applications of differential equations.

    This book helps you even the odds. Using easy-to-understand explanations and examples, it demystifies probability -- and even offers savvy tips to boost your chances of gambling success Discover how to* Conquer combinations and permutations* Understand probability models from binomial to exponential* Make good decisions using probability* Play the odds in poker, roulette, and other games

    Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, recognize faces or spoken speech, optimize robot behavior so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data. "Introduction to Machine Learning" is a comprehensive textbook on the subject, covering a broad array of topics not usually included in introductory machine learning texts. It discusses many methods based in different fields, including statistics, pattern recognition, neural networks, artificial intelligence, signal processing, control, and data mining, in order to present a unified treatment of machine learning problems and solutions. All learning algorithms are explained so that the student can easily move from the equations in the book to a computer program. The book can be used by advanced undergraduates and graduate students who have completed courses in computer programming, probability, calculus, and linear algebra. It will also be of interest to engineers in the field who are concerned with the application of machine learning methods.After an introduction that defines machine learning and gives examples of machine learning applications, the book covers supervised learning, Bayesian decision theory, parametric methods, multivariate methods, dimensionality reduction, clustering, nonparametric methods, decision trees, linear discrimination, multilayer perceptrons, local models, hidden Markov models, assessing and comparing classification algorithms, combining multiple learners, and reinforcement learning.

    In The Dark Side of Valuation, one of the worlds leading valuation experts reviews every approach, demonstrating exactly how to adapt traditional techniques to minimize risks and maximize returns. Aswath Damodaran begins with an overview of the markets dramatic shift towards technology stocks - specifically new technology stocks. He then identifies key valuation principles and techniques, demonstrating them through five case studies that encompass the entire technology company lifecycle: Amazon.com, Ariba, Cisco, Motorola, and a new IPO-ready startup. Coverage includes: *Adaptation of discounted cash flow models for tech companies with limited histories, shifting business m

    is one of only two countries in the world that applies citizenship based taxation in order to tax its own citizens on their worldwide income, irrespective of where they are anywhere in the world. If you’re thinking about becoming a digital nomad or expatriating to another country, do you know how to avoid having to pay tax on your income while abroad? There could be huge penalties or tax evasion charges if you don’t file correctly. Fortunately, these important questions have answers.By combining the right strategies for citizenship, residency, banking, incorporation, and physical presence in other countries, most people who work overseas can legally lower their U.S. tax owing to $0. In U.S. Taxes for Worldly Americans, Certified Public Accountant, U.S. immigrant, expat, and perpetual traveler Olivier Wagner preaches the philosophy of being a worldly American. He uses his expertise to show you how to use 100% legal strategies (beyond traditionally maligned “tax havens”) to keep your income and assets safe from the IRS.Olivier covers a wealth of international tax information, including: -Step-by-step instructions to fill out the Forms and Schedules you will use to file your offshore tax, no matter where you are.-How to qualify for special deductions, credits, and exemptions on international taxation.-Why opening bank accounts and corporations in foreign countries is easier than you think.-How residency or citizenship in another country can legally lower your taxes.-Practical advice for moving, living, and working with tax free income in other parts of the world.-What to consider before renouncing your American citizenship and saying goodbye to the IRS for good.As a non-resident American, there is no single easy answer to lower your taxes. If you don’t understand every possibility, you could end up paying too much. Embrace a worldly lifestyle with confidence as you master the U.S. tax system for Americans living overseas.

    Many Canadians who own their home have never considered buying a second property. And nearly one-third of retirees are worried about running out of money. The Real Estate Retirement Plan shows how homeowners can use the tools already available to them — their mortgages — to access the initial capital to invest and prepare for their retirement. This is a proven, validated antidote to today’s historically low savings rates, poor current rates of return, and pressure on CPP and health care.With examples and a detailed discussion of the principles and mechanics, Calum Ross and Simon Giannini demystify real-estate investing and make an irrefutable case for borrowing to invest.

    Reflecting the demands for entry-level accountants, the focus of this book is on fostering critical thinking skills, reducing emphasis on memorisation and encouraging more analysis and interpretation by requiring use of technology tools, spreadsheets and databases.

    The book begins with an introduction to the language of statistics and then covers descriptive statistics and inferential statistics. Throughout, the author offers readers:- Difficulty Rating Index for each chapter′s material- Tips for doing and thinking about a statistical technique- Top tens for everything from the best ways to create a graph to the most effective techniques for data collection- Steps that break techniques down into a clear sequence of procedures- SPSS tips for executing each major statistical technique- Practice exercises at the end of each chapter, followed by worked out solutions.The book concludes with a statistical software sampler and a description of the best Internet sites for statistical information and data resources. Readers also have access to a website for downloading data that they can use to practice additional exercises from the book. Students and researchers will appreciate the book′s unhurried pace and thorough, friendly presentation.

    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.

    The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. *NEW-Nontechnical learning material-Accompanies each part of the book. *NEW-The Internet as a sample application for intelligent systems-Added in several places including logical agents, planning, and natural language. *NEW-Increased coverage of material - Includes expanded coverage of: default reasoning and truth maintenance systems, including multi-agent/distributed AI and game theory; probabilistic approaches to learning including EM; more detailed descriptions of probabilistic inference algorithms. *NEW-Updated and expanded exercises-75% of the exercises are revised, with 100 new exercises. *NEW-On-line Java software. *Makes it easy for students to do projects on the web using intelligent agents. *A unified, agent-based approach to AI-Organizes the material around the task of building intelligent agents. *Comprehensive, up-to-date coverage-Includes a unified view of the field organized around the rational decision making pa

    In this book, a wealth of exercises are provided throughout each section, designed to reinforce learning and the logical comprehension of topics. The use of real data is incorporated much more extensively than in any other book on the market. Consist of strong coverage of computer-based methods, especially in the coverage of analysis of variance and regression. This text stresses mastery of methods most often used in medical research, with specific reference to actual medical literature and actual medical research. The approach minimizes mathematical formulation, yet gives complete explanations of all important concepts. Every new concept is systematically developed through completely worked-out examples from current medical research problems. Computer output is used to illustrate concepts when appropriate.

    This text's applied approach addresses how and why a business operates. Students can then build upon their practical skills through examples, exercises and projects to help them gain a full understanding of how and why to develop a business plan. Each text is packaged with a Business Plan Booklet and CD-ROM, which are tied to end-of-part features, allowing students hands-on practice in creating a sound business plan. Through lively examples this text emphasizes key core skill areas including, Decision-Making and Planning, Teamwork, Technology, and Communication.