But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many analysts either cower in fear or predict an impossibly sunny future.But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.When AI is framed as cheap prediction, its extraordinary potential becomes clear: Prediction is at the heart of making decisions under uncertainty. Our businesses and personal lives are riddled with such decisions. Prediction tools increase productivity--operating machines, handling documents, communicating with customers. Uncertainty constrains strategy. Better prediction creates opportunities for new business structures and strategies to compete. Penetrating, fun, and always insightful and practical, Prediction Machines follows its inescapable logic to explain how to navigate the changes on the horizon. The impact of AI will be profound, but the economic framework for understanding it is surprisingly simple.

    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.

    The former deals with how the economic problem is solved, while the latter deals with how the economic problem should be solved. The effects of price or rent control on the distribution of income are problems of positive economics. The desirability of these effects on income distribution is a problem of normative economics.Within economics, the major division is between monetary theory and price theory. Monetary theory deals with the level of prices in general, with cyclical and other fluctuations in total output, total employment, and the like. Price theory deals with the allocation of resources among different uses, the price of one item relative to another.Prices do three kinds of things. They transmit information, they provide an incentive to users of resources to be guided by this information, and they provide an incentive to owners of resources to follow this information. Milton Friedman's classic book provides the theoretical underpinning for and understanding of prices.Economics is not concerned solely with economic problems. It is a social science, and is therefore concerned primarily with those economic problems whose solutions involve the cooperation and interaction of different individuals. It is concerned with problems involving a single individual only insofar as the individual's behavior has implications for or effects upon other individuals. Price Theory is concerned not with economic problems in the abstract, but with how a particular society solves its economic problems.

    This book surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing -- including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use.The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts.The companion web site, algs4.cs.princeton.edu contains An online synopsis Full Java implementations Test data Exercises and answers Dynamic visualizations Lecture slides Programming assignments with checklists Links to related material The MOOC related to this book is accessible via the "Online Course" link at algs4.cs.princeton.edu. The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants.Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience.

    The book teaches a range of design and analysis techniques for problems that arise in computing applications. The text encourages an understanding of the algorithm design process and an appreciation of the role of algorithms in the broader field of computer science.

    It provides a simple, thorough survey of elementary topics, starting with set theory and advancing to metric and topological spaces, connectedness, and compactness. 1975 edition.

    The authors make these subjects accessible through carefully worked examples illustrating the technical aspects of the subject, and intuitive explanations of what is going on behind the mathematics. After presenting the basics of quantum electrodynamics, the authors discuss the theory of renormalization and its relation to statistical mechanics, and introduce the renormalization group. This discussion sets the stage for a discussion of the physical principles that underlie the fundamental interactions of elementary particle physics and their description by gauge field theories.

    Beginning with the background and very nature of probability theory, the book then proceeds through sample spaces, combinatorial analysis, fluctuations in coin tossing and random walks, the combination of events, types of distributions, Markov chains, stochastic processes, and more. The book's comprehensive approach provides a complete view of theory along with enlightening examples along the way.

    We’ve comea long way since then. With this book, Drs. Romero and Balch liftthe veil from many of these once-opaque concepts in high-techfinance. We can all benefit from learning how the cooperationbetween wetware and software creates fitter models. This bookdoes a fantastic job describing how the latest advances in financialmodeling and data science help today’s portfolio managerssolve these greater riddles. —Michael Himmel, ManagingPartner, Essex Asset ManagementI applaud Phil Romero’s willingness to write about the hedgefund world, an industry that is very private, often flamboyant,and easily misunderstood. As with every sector of the investmentlandscape, the hedge fund industry varies dramaticallyfrom quantitative “black box” technology, to fundamental researchand old-fashioned stock picking. This book helps investorsdistinguish between these diverse opposites and understandtheir place in the new evolving world of finance. —Mick Elfers,Founder and Chief Investment Strategist, Irvington Capital

    Theoretical, yet applied. Statistics for Business and Economics, Eleventh Edition, gives you the best of both worlds. Using a rich array of applications from a variety of industries, McClave/Sincich/Benson clearly demonstrates how to use statistics effectively in a business environment.The book focuses on developing statistical thinking so the reader can better assess the credibility and value of inferences made from data. As consumers and future producers of statistical inferences, readers are introduced to a wide variety of data collection and analysis techniques to help them evaluate data and make informed business decisions. As with previous editions, this revision offers an abundance of applications with many new and updated exercises that draw on real business situations and recent economic events. The authors assume a background of basic algebra.

    Rather than a "how to" for hands-on techies, the book entices lay-readers and experts alike by covering new case studies and the latest state-of-the-art techniques.You have been predicted — by companies, governments, law enforcement, hospitals, and universities. Their computers say, "I knew you were going to do that!" These institutions are seizing upon the power to predict whether you're going to click, buy, lie, or die.Why? For good reason: predicting human behavior combats financial risk, fortifies healthcare, conquers spam, toughens crime fighting, and boosts sales.How? Prediction is powered by the world's most potent, booming unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn.Predictive analytics unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future — lifting a bit of the fog off our hazy view of tomorrow — means pay dirt.In this rich, entertaining primer, former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: -What type of mortgage risk Chase Bank predicted before the recession. -Predicting which people will drop out of school, cancel a subscription, or get divorced before they are even aware of it themselves. -Why early retirement decreases life expectancy and vegetarians miss fewer flights. -Five reasons why organizations predict death, including one health insurance company. -How U.S. Bank, European wireless carrier Telenor, and Obama's 2012 campaign calculated the way to most strongly influence each individual. -How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! -How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. -How judges and parole boards rely on crime-predicting computers to decide who stays in prison and who goes free. -What's predicted by the BBC, Citibank, ConEd, Facebook, Ford, Google, IBM, the IRS, Match.com, MTV, Netflix, Pandora, PayPal, Pfizer, and Wikipedia. A truly omnipresent science, predictive analytics affects everyone, every day. Although largely unseen, it drives millions of decisions, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate.Predictive analytics transcends human perception. This book's final chapter answers the riddle: What often happens to you that cannot be witnessed, and that you can't even be sure has happened afterward — but that can be predicted in advance?Whether you are a consumer of it — or consumed by it — get a handle on the power of Predictive Analytics.

    

    Analysing various case studies of innovation-led growth, it describes the opposite situation, whereby the private sector only becomes bold enough to invest after the courageous State has made the high-risk investments.The volume argues that in the history of modern capitalism, the State has generated economic activity that would not otherwise have happened, and has actively opened up new technologies and markets that private investors can later move into. Far from the often heard criticisms of the State potentially 'crowding out' private investments, the State makes them happen, shaping and creating markets, not only 'fixing' them. Ignoring this reality only serves ideological ends, and hurts effective policymaking.This book examines case studies ranging from the advent of the Internet to the emergence of the biotechnology and nanotechnology industries. In particular, the volume debunks the myth that Silicon Valley was created by entrepreneurial venture capital. A key chapter focuses on the State investments behind Apple's success, and reveals that every major technology behind the iPhone owes its source to public funds. Thus, while entrepreneurial individuals like Steve Jobs are needed, their success is nearly impossible without their ability to ride the wave of State investments. And if Europe wants its own Googles, it needs more State action, not less.Two forward-looking chapters focus on the emergence of the next big thing after the internet: the 'green revolution'. Both solar and wind technology are currently being led by State spending, whether through the US ARPA-E programme or the Chinese and Brazilian State investment banks. The discussion refreshingly moves beyond the usual division between proponents of austerity vs. the proponents of fiscal stimulus. It argues that State investments not only help kick-start growth during periods of recession, but that they also, even in boom periods, lead to productive investments in radical new technologies which later foster decades of growth.The book ends with a fundamental question: if the State is so important to investments in high-risk innovation, why does it capture so little direct return?

    . . worldwideEverybody's talking about the economy, but how can we, the people, understand what Wall Street or Washington knows--or say they know? Read "Economix."With clear, witty writing and quirky, accessible art, this important and timely graphic novel transforms "the dismal science" of economics into a fun, fact-filled story about human nature and our attempts to make the most of what we've got . . . and sometimes what our neighbors have got. "Economix "explains it all, from the beginning of Western economic thought, to markets free and otherwise, to economic failures, successes, limitations, and future possibilities. It's the essential, accessible guide to understanding the economy and economic practices. A must-read for every citizen and every voter.PRAISE FOR "ECONOMIX""It's simply phenomenal. You could read ten books on the subject and not glean as much information."-- David Bach founder of FinishRich Media; author of nine "New York Times" bestsellers, including "Debt Free for Life" and "The Automatic Millionaire" "Goodwin has done the seemingly impossible--he has made economics comprehensible "and" funny."-- Joel Bakan, author of "The Corporation" "The Pathological Pursuit of Profit and Power" "An amazing lesson in true-world economics Delightfully presented, powerful, insightful, and important information What a fun way to fathom a deep and often dark subject "-- John Perkins, author of "Hoodwinked" and the "New York Times" bestseller "Confessions of an Economic Hit Man" "Smart, insightful, clear, and as close to the truth as economics can get. The bonus: Who would have guessed that economics could be fun, and--here's the joy--really accessible? Goodwin roots us in history and fills us with common sense understanding. As he puts it early on, economics seems horribly complicated mostly because we're looking at it all at once. Broken down into its component pieces, it's relatively easy to understand. And a good understanding of economics is critical to maneuvering in the world today. If I were compiling a list of the 100 most important books you can read in a lifetime, this would be on it."--Stephen Petranek, editor-in-chief, Weider History magazines, former editor-in-chief of "Discover" magazine "Through a potent mix of comics and punchy, concise, accessible prose, Goodwin takes us on a provocative, exhaustively researched, and exceedingly engaging trip through our history and present day, creating an alternately hilarious and scary picture of where we are today as an economy-- and what it all means. More than that, Goodwin makes the arcane, understandable. If your mind either spins or slumbers at the thought of economics, read Goodwin's "Economix" and all will become clear. --Nomi Prins, author of "It Takes a Pillage: An Epic Tale of Power, Deceit, and Untold Trillions" ""Economix" is a lively, cheerfully opinionated romp through the historical and intellectual foundations of our current economy and our current economic problems. Goodwin has a knack for distilling complex ideas and events in ways that invite the reader to follow the big picture without losing track of what actually happened. Any reader wondering how our economy got to where it is today will find this a refreshing overview."--Timothy W. Guinnane, Philip Golden Bartlett Professor of Economic History, Yale University

    His transformation from academic economist to public intellectual prompted him to reflect further on the role economists and their discipline play in society. The result is Economics for the Common Good, a passionate manifesto for a world in which economics, far from being a "dismal science," is a positive force for the common good.Economists are rewarded for writing technical papers in scholarly journals, not joining in public debates. But Tirole says we urgently need economists to engage with the many challenges facing society, helping to identify our key objectives and the tools needed to meet them.To show how economics can help us realize the common good, Tirole shares his insights on a broad array of questions affecting our everyday lives and the future of our society, including global warming, unemployment, the post-2008 global financial order, the euro crisis, the digital revolution, innovation, and the proper balance between the free market and regulation.Providing a rich account of how economics can benefit everyone, Economics for the Common Good sets a new agenda for the role of economics in society.