The book offers sound, practical advice, no matter what your age or net worth. Bottomline, become a Boglehead and prosper! Originally just the chat-line ruminations of Boglehead founder Taylor Larimore, and Morningstar forum leading cohorts Mel Lindauer and Michael LeBoeuf, their trusted advice has been brewed and distilled into an easy-to-use, need-to-know, no frills guide to building up your own financial well-being - so you can worry less and profit more from the investments you make. Invest like a Boglehead, and let their grassroots investment wisdom guide you down the path of long-term wealth creation and happiness, without all the worries and fuss of stock pickers and day traders. If you face a financial crisis or problem, or simply want to know what is prudent to do with the money you save, the Bogleheads will have the answers you need to help you gain your financial footing and keep it.

    These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics, and cryptography. This textbook introduces theory in tandem with applications. Information theory is taught alongside practical communication systems, such as arithmetic coding for data compression and sparse-graph codes for error-correction. A toolbox of inference techniques, including message-passing algorithms, Monte Carlo methods, and variational approximations, are developed alongside applications of these tools to clustering, convolutional codes, independent component analysis, and neural networks. The final part of the book describes the state of the art in error-correcting codes, including low-density parity-check codes, turbo codes, and digital fountain codes -- the twenty-first century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, David MacKay's groundbreaking book is ideal for self-learning and for undergraduate or graduate courses. Interludes on crosswords, evolution, and sex provide entertainment along the way. In sum, this is a textbook on information, communication, and coding for a new generation of students, and an unparalleled entry point into these subjects for professionals in areas as diverse as computational biology, financial engineering, and machine learning.

    From randomized clinical trials in medical research, to statistical models of risk in banking and hedge fund industries, to the statistical tools used to probe vast astronomical databases, the field of statistics has become centrally important to how we understand our world. But the discipline underlying all these is not the dull statistics of the popular imagination. Long gone are the days of manual arithmetic manipulation. Nowadays statistics is a dynamic discipline, revolutionized by the computer, which uses advanced software tools to probe numerical data, seeking structures, patterns, and relationships. This Very Short Introduction sets the study of statistics in context, describing its history and giving examples of its impact, summarizes methods of gathering and evaluating data, and explains the role played by the science of chance, of probability, in statistical methods. The book also explores deep philosophical issues of induction--how we use statistics to discern the true nature of reality from the limited observations we necessarily must make.About the Series: Combining authority with wit, accessibility, and style, Very Short Introductions offer an introduction to some of life's most interesting topics. Written by experts for the newcomer, they demonstrate the finest contemporary thinking about the central problems and issues in hundreds of key topics, from philosophy to Freud, quantum theory to Islam.

    That is, you've certainly heard of them. But do you know enough about these economic theories to join a dinner party debate or dazzle the bar with your financial knowledge?30-Second Economics takes the top 50 economic theories, and explains them to the general reader in half a minute, using nothing more than two pages, 300 words, and one picture. Economics will suddenly seem a lot more fun than the economy, and make a lot more sense, and along the way you'll meet the founding fathers of modern economics such as Adam Smith, David Ricardo, and Alfred Marshall. From Marxism to Mercantilism, plus everything in between, this is the ultimate "crash" course in economic theory.

    This text is highly regarded because of its engaging and understandable introduction to statistics. The author's commitment to providing student-friendly guidance through the material and giving students opportunities to apply their newly learned skills in a real-world context has made Elementary Statistics the #1 best-seller in the market.

    In this richly illustrated book, accessible examples are used to show how information theory can be understood in terms of everyday games like '20 Questions', and the simple MatLab programs provided give hands-on experience of information theory in action. Written in a tutorial style, with a comprehensive glossary, this text represents an ideal primer for novices who wish to become familiar with the basic principles of information theory.Download chapter 1 from http://jim-stone.staff.shef.ac.uk/Boo...

    Each chapter contains integrated worked examples and chapter tests. This edition has the ancillary ATLAST computer exercise guide and new MATLAB and Maple guides.

    "More concretely," the authors explain, "it is the controlled manipulation of mathematical formulas, using a collection of techniques for solving problems."

    The 11th edition of this text continues to build on four major marketing themes: building and managing profitable customer relationships, building and managing strong brands to create brand equity, harnessing new marketing technologies in the digital age, and marketing in a socially responsible way around the globe.

    An unprecedented redistribution of jobs, population, and wealth is under way in America, and it is likely to accelerate in the years to come. America’s new economic map shows growing differences, not just between people but especially between communities. In this important and persuasive book, U.C. Berkeley economist Enrico Moretti provides a fresh perspective on the tectonic shifts that are reshaping America’s labor market—from globalization and income inequality to immigration and technological progress—and how these shifts are affecting our communities. Drawing on a wealth of stimulating new studies, Moretti uncovers what smart policies may be appropriate to address the social challenges that are arising. We’re used to thinking of the United States in dichotomous terms: red versus blue, black versus white, haves versus have-nots. But today there are three Americas. At one extreme are the brain hubs—cities like San Francisco, Boston, Austin, and Durham—with a well-educated labor force and a strong innovation sector. Their workers are among the most productive, creative, and best paid on the planet. At the other extreme are cities once dominated by traditional manufacturing, which are declining rapidly, losing jobs and residents. In the middle are a number of cities that could go either way. For the past thirty years, the three Americas have been growing apart at an accelerating rate. This divergence is one the most important recent developments in the United States and is causing growing geographic disparities is all other aspects of our lives, from health and longevity to family stability and political engagement. But the winners and losers aren’t necessarily who you’d expect. Moretti’s groundbreaking research shows that you don’t have to be a scientist or an engineer to thrive in one of these brain hubs. Among the beneficiaries are the workers who support the "idea-creators"—the carpenters, hair stylists, personal trainers, lawyers, doctors, teachers and the like. In fact, Moretti has shown that for every new innovation job in a city, five additional non-innovation jobs are created, and those workers earn higher salaries than their counterparts in other cities. It wasn’t supposed to be this way. As the global economy shifted from manufacturing to innovation, geography was supposed to matter less. But the pundits were wrong. A new map is being drawn—the inevitable result of deep-seated but rarely discussed economic forces. These trends are reshaping the very fabric of our society. Dealing with this split—supporting growth in the hubs while arresting the decline elsewhere—will be the challenge of the century, and　The New Geography of Jobs　lights the way.

    Drawing on his experience as a professional trader, author Sheldon Natenberg examines both the theory and reality of option trading. He presents the foundations of option theory explaining how this theory can be used to identify and exploit trading opportunities. "Option Volatility & Pricing" teaches you to use a wide variety of trading strategies and shows you how to select the strategy that best fits your view of market conditions and individual risk tolerance.New sections include: Expanded coverage of stock option Strategies for stock index futures and options A broader, more in-depth discussion volatility Analysis of volatility skews Intermarket spreading with options

    Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.Each chapter will cover a different technique in a spreadsheet so you can follow along: - Mathematical optimization, including non-linear programming and genetic algorithms- Clustering via k-means, spherical k-means, and graph modularity- Data mining in graphs, such as outlier detection- Supervised AI through logistic regression, ensemble models, and bag-of-words models- Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation- Moving from spreadsheets into the R programming languageYou get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.

    Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not.Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you're familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format.With this book, you'll learn:Why exploratory data analysis is a key preliminary step in data scienceHow random sampling can reduce bias and yield a higher quality dataset, even with big dataHow the principles of experimental design yield definitive answers to questionsHow to use regression to estimate outcomes and detect anomaliesKey classification techniques for predicting which categories a record belongs toStatistical machine learning methods that "learn" from dataUnsupervised learning methods for extracting meaning from unlabeled data

    Yet despite its economic complexity, shipping retains much of the competitive cut and thrust of the "perfect" market of classical economics. This blend of sophisticated logistics and larger than life entrepreneurs makes it a unique case study of classical economics in a modern setting.The enlarged and substantially rewritten Maritime Economics uses historical and theoretical analysis as the framework for a practical explanation of how shipping works today. Whilst retaining the structure of the second edition, its scope is widened to include:lessons from 5000 years of commercial shipping history shipping cycles back to 1741, with a year by year commentary updated chapters on markets; shipping costs; accounts; ship finance and a new chapter on the return on capital new chapters on the geography of sea trade; trade theory and specialised cargoes updated chapters on the merchant fleet shipbuilding, recycling and the regulatory regime a much revised chapter on the challenges and pitfalls of forecasting. With over 800 pages, 200 illustrations, maps, technical drawings and tables Maritime Economics is the shipping industry's most comprehensive text and reference source, whilst remaining as one reviewer put it "a very readable book".Martin Stopford has enjoyed a distinguished career in the shipping industry as Director of Business Development with British Shipbuilders, Global Shipping Economist with the Chase Manhattan Bank N.A., Chief Executive of Lloyds Maritime Information Services; Managing Director of Clarkson Research Services and an executive Director of Clarksons PLC. He lectures regularly at Cambridge Academy of Transport and is a Visiting Professor at Cass Business School, Dalian Maritime University and Copenhagen Business School.

    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.