They argue that if managers seriously want to develop effective strategies for competing in the new economy, they must understand the fundamental economics of information technology. Whether information takes the form of software code or recorded music, is published in a book or magazine, or even posted on a website, managers must know how to evaluate the consequences of pricing, protecting, and planning new versions of information products, services, and systems. The first book to distill the economics of information and networks into practical business strategies, Information Rules is a guide to the winning moves that can help business leaders navigate successfully through the tough decisions of the information economy.

    Renowned economist Nouriel Roubini electrified his profession and the larger financial community by predicting the current crisis well in advance of anyone else. Unlike most in his profession who treat economic disasters as freakish once-in-a-lifetime events without clear cause, Roubini, after decades of careful research around the world, realized that they were both probable and predictable. Armed with an unconventional blend of historical analysis and global economics, Roubini has forced politicians, policy makers, investors, and market watchers to face a long-neglected truth: financial systems are inherently fragile and prone to collapse. Drawing on the parallels from many countries and centuries, Nouriel Roubini and Stephen Mihm, a professor of economic history and a "New York Times Magazine" writer, show that financial cataclysms are as old and as ubiquitous as capitalism itself. The last two decades alone have witnessed comparable crises in countries as diverse as Mexico, Thailand, Brazil, Pakistan, and Argentina. All of these crises-not to mention the more sweeping cataclysms such as the Great Depression-have much in common with the current downturn. Bringing lessons of earlier episodes to bear on our present predicament, Roubini and Mihm show how we can recognize and grapple with the inherent instability of the global financial system, understand its pressure points, learn from previous episodes of "irrational exuberance," pinpoint the course of global contagion, and plan for our immediate future. Perhaps most important, the authors-considering theories, statistics, and mathematical models with the skepticism that recent history warrants explain how the world's economy can get out of the mess we're in, and stay out. In Roubini's shadow, economists and investors are increasingly realizing that they can no longer afford to consider crises the black swans of financial history. A vital and timeless book, "Crisis Economics" proves calamities to be not only predictable but also preventable and, with the right medicine, curable."

    This is one of the biggest debates in economics and the value or futility of investment management and financial regulation hang on the outcome. In this groundbreaking book, Andrew Lo cuts through this debate with a new framework, the Adaptive Markets Hypothesis, in which rationality and irrationality coexist.Drawing on psychology, evolutionary biology, neuroscience, artificial intelligence, and other fields, Adaptive Markets shows that the theory of market efficiency isn't wrong but merely incomplete. When markets are unstable, investors react instinctively, creating inefficiencies for others to exploit. Lo's new paradigm explains how financial evolution shapes behavior and markets at the speed of thought--a fact revealed by swings between stability and crisis, profit and loss, and innovation and regulation.A fascinating intellectual journey filled with compelling stories, Adaptive Markets starts with the origins of market efficiency and its failures, turns to the foundations of investor behavior, and concludes with practical implications--including how hedge funds have become the Galapagos Islands of finance, what really happened in the 2008 meltdown, and how we might avoid future crises.An ambitious new answer to fundamental questions in economics, Adaptive Markets is essential reading for anyone who wants to know how markets really work.

    Written By Two Of Today'S Most Respected Computer Science Educators, Nell Dale And John Lewis, The Text Provides A Broad Overview Of The Many Aspects Of The Discipline From A Generic View Point. Separate Program Language Chapters Are Available As Bundle Items For Those Instructors Who Would Like To Explore A Particular Programming Language With Their Students. The Many Layers Of Computing Are Thoroughly Explained Beginning With The Information Layer, Working Through The Hardware, Programming, Operating Systems, Application, And Communication Layers, And Ending With A Discussion On The Limitations Of Computing. Perfect For Introductory Computing And Computer Science Courses, Computer Science Illuminated, Third Edition's Thorough Presentation Of Computing Systems Provides Computer Science Majors With A Solid Foundation For Further Study, And Offers Non-Majors A Comprehensive And Complete Introduction To Computing.

    His analysis explains not only the deficiencies of the self-regulating market, but the potentially dire social consequences of untempered market capitalism. New introductory material reveals the renewed importance of Polanyi's seminal analysis in an era of globalization and free trade.

    In this Very Short Introduction, Robert C. Allen shows how the interplay of geography, globalization, technological change, and economic policy has determined the wealth and poverty of nations. Allen shows how the industrial revolution was Britain's path-breaking response to the challenge of globalization. Western Europe and North America joined Britain to form a club of rich nations, pursuing four polices--creating a national market by abolishing internal tariffs and investing in transportation, erecting an external tariff to protect their fledgling industries from British competition, creating banks to stabilize the currency and mobilize domestic savings for investment, and promoting mass education to prepare people for industrial work. Together these countries pioneered new technologies that have made them ever richer. A few countries--Japan, Soviet Russia, South Korea, Taiwan, and perhaps China--have caught up with the West through creative responses to the technological challenge and with Big Push industrialization that has achieved rapid growth through coordinated investment.

    “Big data” refers to our burgeoning ability to crunch vast collections of information, analyze it instantly, and draw sometimes profoundly surprising conclusions from it. This emerging science can translate myriad phenomena—from the price of airline tickets to the text of millions of books—into searchable form, and uses our increasing computing power to unearth epiphanies that we never could have seen before. A revolution on par with the Internet or perhaps even the printing press, big data will change the way we think about business, health, politics, education, and innovation in the years to come. It also poses fresh threats, from the inevitable end of privacy as we know it to the prospect of being penalized for things we haven’t even done yet, based on big data’s ability to predict our future behavior.In this brilliantly clear, often surprising work, two leading experts explain what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards. Big Data is the first big book about the next big thing.www.big-data-book.com

    Mitchell covers the field of machine learning, the study of algorithms that allow computer programs to automatically improve through experience and that automatically infer general laws from specific data.

    But concern over what Louis Brandeis called the "curse of bigness" can no longer remain the province of specialist lawyers and economists, for it has spilled over into policy and politics, even threatening democracy itself. History suggests that tolerance of inequality and failing to control excessive corporate power may prompt the rise of populism, nationalism, extremist politicians, and fascist regimes. In short, as Wu warns, we are in grave danger of repeating the signature errors of the twentieth century.In The Curse of Bigness, Columbia professor Tim Wu tells of how figures like Brandeis and Theodore Roosevelt first confronted the democratic threats posed by the great trusts of the Gilded Age--but the lessons of the Progressive Era were forgotten in the last 40 years. He calls for recovering the lost tenets of the trustbusting age as part of a broader revival of American progressive ideas as we confront the fallout of persistent and extreme economic inequality.

    In A Concise Guide to Macroeconomics, David Moss leverages his many years of teaching experience at Harvard Business School to lay out important macroeconomic concepts in engaging, clear, and concise terms. In a simple and intuitive way, he breaks down the ideas into “output,” “money,” and “expectations.” In addition, Moss introduces powerful tools for interpreting the big-picture economic developments that shape events in the contemporary business arena. Detailed examples are also drawn from history to illuminate important concepts.This book is destined to become a staple in MBA courses—as well as the go-to resource for executives and managers at all levels seeking to brush up on their knowledge of macroeconomic dynamics.

    With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it.Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains:Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm Optimization algorithms that search millions of possible solutions to a problem and choose the best one Bayesian filtering, used in spam filters for classifying documents based on word types and other features Using decision trees not only to make predictions, but to model the way decisions are made Predicting numerical values rather than classifications to build price models Support vector machines to match people in online dating sites Non-negative matrix factorization to find the independent features in a dataset Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details."-- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths."-- Tim Wolters, CTO, Collective Intellect

    But many people use data in ways they don't even understand, meaning they aren't getting the most from it. Bayesian Statistics the Fun Way will change that.This book will give you a complete understanding of Bayesian statistics through simple explanations and un-boring examples. Find out the probability of UFOs landing in your garden, how likely Han Solo is to survive a flight through an asteroid shower, how to win an argument about conspiracy theories, and whether a burglary really was a burglary, to name a few examples.By using these off-the-beaten-track examples, the author actually makes learning statistics fun. And you'll learn real skills, like how to:- How to measure your own level of uncertainty in a conclusion or belief- Calculate Bayes theorem and understand what it's useful for- Find the posterior, likelihood, and prior to check the accuracy of your conclusions- Calculate distributions to see the range of your data- Compare hypotheses and draw reliable conclusions from themNext time you find yourself with a sheaf of survey results and no idea what to do with them, turn to Bayesian Statistics the Fun Way to get the most value from your data.

    A. Hayek, came to challenge all previous trade-cycle theories.Ludwig von Mises (1881–1973) was the leading spokesman of the Austrian School of economics throughout most of the twentieth century.Please note: This title is available as an ebook for purchase on Amazon, Barnes and Noble, and iTunes.

    Clear, comprehensive coverage of utility theory, 2-person zero-sum games, 2-person non-zero-sum games, n-person games, individual and group decision-making, more. Bibliography.

    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