The books also provides a companion web site that provides the toold and materials necessary to build the hardware and software.

    The Second Edition of Trading Chaos is a cutting edge book that combines trading psychology and Chaos Theory and its particular effect on the markets. By examining both of these facets in relation to the current market, readers will have the best of all possible worlds when trading. Bill Williams, PhD, CTA (Solana Beach, CA), is President of Profitunity.com, a leader in the field of education for traders and investors. Justine Gregory-Williams (Solana Beach, CA) is President of the Profitunity Trading Group and a full-time trader.

    But if one per year is good, how about Seven Languages in Seven Weeks? In this book you'll get a hands-on tour of Clojure, Haskell, Io, Prolog, Scala, Erlang, and Ruby. Whether or not your favorite language is on that list, you'll broaden your perspective of programming by examining these languages side-by-side. You'll learn something new from each, and best of all, you'll learn how to learn a language quickly. Ruby, Io, Prolog, Scala, Erlang, Clojure, Haskell. With Seven Languages in Seven Weeks, by Bruce A. Tate, you'll go beyond the syntax-and beyond the 20-minute tutorial you'll find someplace online. This book has an audacious goal: to present a meaningful exploration of seven languages within a single book. Rather than serve as a complete reference or installation guide, Seven Languages hits what's essential and unique about each language. Moreover, this approach will help teach you how to grok new languages. For each language, you'll solve a nontrivial problem, using techniques that show off the language's most important features. As the book proceeds, you'll discover the strengths and weaknesses of the languages, while dissecting the process of learning languages quickly--for example, finding the typing and programming models, decision structures, and how you interact with them. Among this group of seven, you'll explore the most critical programming models of our time. Learn the dynamic typing that makes Ruby, Python, and Perl so flexible and compelling. Understand the underlying prototype system that's at the heart of JavaScript. See how pattern matching in Prolog shaped the development of Scala and Erlang. Discover how pure functional programming in Haskell is different from the Lisp family of languages, including Clojure. Explore the concurrency techniques that are quickly becoming the backbone of a new generation of Internet applications. Find out how to use Erlang's let-it-crash philosophy for building fault-tolerant systems. Understand the actor model that drives concurrency design in Io and Scala. Learn how Clojure uses versioning to solve some of the most difficult concurrency problems. It's all here, all in one place. Use the concepts from one language to find creative solutions in another-or discover a language that may become one of your favorites.

    Now, award-winning Tribune Company personal finance columnist Gregory Karp shows how to do just that. This book isn't about depriving yourself: you don't have to become a financial anorexic, and you won't have to start dumpster diving! Instead, Gregory Karp shows how to build real, long-lasting wealth by plugging the money leaks you're barely even aware of, and making sure you spend with a purpose. Drawing on everything he's learned writing his prize-winning weekly column, Karp reveals surprisingly painless, little-known techniques for eliminating wasteful spending in every area of your financial life. Karp shows how to spend on what you really care about, not what you don't... understand the real value of comparison shopping...save money in giving gifts without becoming a cheapskate. Karp shows how to slash your phone bill... spend less on food without changing what you like to eat... eliminate spending leaks in insurance, education, entertainment and beyond. From the clothes you wear to the cars you drive, Living Rich by Spending Smart will help you build a life that's truly rich, because it's truly financially secure.

    Now, two science professors give us the tools to dismantle misinformation and think clearly in a world of fake news and bad data.It's increasingly difficult to know what's true. Misinformation, disinformation, and fake news abound. Our media environment has become hyperpartisan. Science is conducted by press release. Startup culture elevates bullshit to high art. We are fairly well equipped to spot the sort of old-school bullshit that is based in fancy rhetoric and weasel words, but most of us don't feel qualified to challenge the avalanche of new-school bullshit presented in the language of math, science, or statistics. In Calling Bullshit, Professors Carl Bergstrom and Jevin West give us a set of powerful tools to cut through the most intimidating data.You don't need a lot of technical expertise to call out problems with data. Are the numbers or results too good or too dramatic to be true? Is the claim comparing like with like? Is it confirming your personal bias? Drawing on a deep well of expertise in statistics and computational biology, Bergstrom and West exuberantly unpack examples of selection bias and muddled data visualization, distinguish between correlation and causation, and examine the susceptibility of science to modern bullshit.We have always needed people who call bullshit when necessary, whether within a circle of friends, a community of scholars, or the citizenry of a nation. Now that bullshit has evolved, we need to relearn the art of skepticism.

    This must change to insure a capitalism that works for us all.In this scathing indictment of our current global financial system, The Value of Everything rigorously scrutinizes the way in which economic value has been determined and reveals how the difference between value creation and value extraction has become increasingly blurry. Mariana Mazzucato argues that this blurriness allowed certain actors in the economy to portray themselves as value creators, while in reality they were just moving existing value around or, even worse, destroying it.The book uses case studies - from Silicon Valley to the financial sector to big pharma - to show how the foggy notions of value create confusion between rents and profits, a difference that distorts the measurements of growth and GDP.The lesson here is urgent and sobering: to rescue our economy from the next, inevitable crisis and to foster long-term economic growth, we will need to rethink capitalism, rethink the role of public policy and the importance of the public sector, and redefine how we measure value in our society.

    It shows how causality has grown from a nebulous concept into a mathematical theory with significant applications in the fields of statistics, artificial intelligence, philosophy, cognitive science, and the health and social sciences. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural approaches to causation, and devises simple mathematical tools for analyzing the relationships between causal connections, statistical associations, actions and observations. The book will open the way for including causal analysis in the standard curriculum of statistics, artifical intelligence, business, epidemiology, social science and economics. Students in these areas will find natural models, simple identification procedures, and precise mathematical definitions of causal concepts that traditional texts have tended to evade or make unduly complicated. This book will be of interest to professionals and students in a wide variety of fields. Anyone who wishes to elucidate meaningful relationships from data, predict effects of actions and policies, assess explanations of reported events, or form theories of causal understanding and causal speech will find this book stimulating and invaluable. Professor of Computer Science at the UCLA, Judea Pearl is the winner of the 2008 Benjamin Franklin Award in Computers and Cognitive Science.

    It provides students who lack a strong science background the ideal balance of reliable nutrition information and practical consumer-oriented knowledge.

    It shouldn't take a worldwide pandemic and nationwide protests to bring economic and racial inequality to the forefront of problems we desperately need to solve. But now that the opportunity is here, what should we do? How can we create more equality, opportunity, and growth for everyone? Not someday, but what can government and the private sector do right now to disrupt a status quo that almost everyone wants to change?In Common Sense, the New York Times best-selling author Joel Greenblatt offers an investor's perspective on building an economy that truly works for everyone. With dry wit and engaging storytelling, he makes a lively and provocative case for disruptive new approaches--some drawn from personal experience, some from the outside looking in. How can leading corporations immediately disrupt our education establishment while creating high-paying job opportunities for those currently left behind? If we want a living wage for everyone, how can we afford it while using an existing program to get it done now? If we subsidize banks, what simple changes can we make to the way we capitalize and regulate them to help grow the economy, increase access, and create more jobs (while keeping the risks and benefits where they belong)? Greenblatt also explains how dramatically increasing immigration would be like giving every American a giant bonus and the reason Australia might be the best place to learn about saving for retirement.Not everyone will agree with what Greenblatt has to say--but all of us can benefit from the conversations he aims to start.

    Data Science For Dummies is the perfect starting point for IT professionals and students interested in making sense of their organization’s massive data sets and applying their findings to real-world business scenarios. From uncovering rich data sources to managing large amounts of data within hardware and software limitations, ensuring consistency in reporting, merging various data sources, and beyond, you’ll develop the know-how you need to effectively interpret data and tell a story that can be understood by anyone in your organization. Provides a background in data science fundamentals before moving on to working with relational databases and unstructured data and preparing your data for analysis Details different data visualization techniques that can be used to showcase and summarize your data Explains both supervised and unsupervised machine learning, including regression, model validation, and clustering techniques Includes coverage of big data processing tools like MapReduce, Hadoop, Dremel, Storm, and Spark It’s a big, big data world out there – let Data Science For Dummies help you harness its power and gain a competitive edge for your organization.

    We have Mindstorms to thank for that. In this book, pioneering computer scientist Seymour Papert uses the invention of LOGO, the first child-friendly programming language, to make the case for the value of teaching children with computers. Papert argues that children are more than capable of mastering computers, and that teaching computational processes like de-bugging in the classroom can change the way we learn everything else. He also shows that schools saturated with technology can actually improve socialization and interaction among students and between students and teachers.

    From Adam Smith and Andrew Carnegie to Bill Gates and Warren Buffett, The Business Book is perfect for college students, would-be entrepreneurs, or anyone interested in how business works.The Business Book is the perfect primer to key theories of business and management, covering inspirational business ideas, business strategy and alternative business models. One hundred key quotations introduce you to the work of great commercial thinkers, leaders, and gurus from Henry Ford to Steve Jobs, and to topics spanning from start-ups to ethics.

    Politicians and marketers present shoddy evidence for dubious claims all the time. But smart people make mistakes too, and when it comes to statistics, plenty of otherwise great scientists--yes, even those published in peer-reviewed journals--are doing statistics wrong."Statistics Done Wrong" comes to the rescue with cautionary tales of all-too-common statistical fallacies. It'll help you see where and why researchers often go wrong and teach you the best practices for avoiding their mistakes.In this book, you'll learn: - Why "statistically significant" doesn't necessarily imply practical significance- Ideas behind hypothesis testing and regression analysis, and common misinterpretations of those ideas- How and how not to ask questions, design experiments, and work with data- Why many studies have too little data to detect what they're looking for-and, surprisingly, why this means published results are often overestimates- Why false positives are much more common than "significant at the 5% level" would suggestBy walking through colorful examples of statistics gone awry, the book offers approachable lessons on proper methodology, and each chapter ends with pro tips for practicing scientists and statisticians. No matter what your level of experience, "Statistics Done Wrong" will teach you how to be a better analyst, data scientist, or researcher.

    Features exceptionally clear explanations and descriptions, step-by-step examples, more than 50 practical applications, over 2000 easy-to-challenging practice problems, and comprehensive coverage of essentials. PSpice, OrCAd version 9.2 Lite Edition, Multisims 2001 version of Electronics Workbench, and MathCad software references and examples are used throughout. Computer programs (C++, BASIC and PSpice) are printed in color, as they run, at the point in the book where they are discussed. Current and Voltage. Resistance. Ohm's Law, Power, and Energy. Series Circuits. Parallel Circuits. Series-Parallel Networks. Methods of Analysis & Selected Topics. Network Theorems. Capacitors. Magnetic Circuits. Inductors. Sinusodial Alternating Waveforms. The Basic Elements and Phasors. Series and Parallel ac Circuits. Series-Parallel ac Networks. Methods of Analysis and Related Topics. Network Theorems (ac). Power (ac). Resonance. Transformers. Polyphase Systems. Decibels, Filters, and Bode Points. Pulse Waveforms and the R-C Response. Nonsinusodial Circuits. System Analysis: An Introduction. For those working in electronic technology.

    With his customary wit and insight, Reich shows how widening inequality of income and wealth, heightened job insecurity, and corporate corruption are merely the logical results of a system in which politicians are more beholden to the influence of business lobbyists than to the voters who elected them. Powerful and thought-provoking, Supercapitalism argues that a clear separation of politics and capitalism will foster an enviroment in which both business and government thrive, by putting capitalism in the service of democracy, and not the other way around.From the Trade Paperback edition.