The unique on-line grading services instantly grades solutions to hundred of computer exercises. It is specially devised to be used by philosophy instructors in a way that is useful to undergraduates of philosophy, computer science, mathematics, and linguistics.The book is a completely rewritten and much improved version of The Language of First-order Logic. Introductory material is presented in a more systematic and accessible fashion. Advanced chapters include proofs of soundness and completeness for propositional and predicate logic, as well as an accessible sketch of Godel's first incompleteness theorem. The book is appropriate for a wide range of courses, from first logic courses for undergraduates (philosophy, mathematics, and computer science) to a first graduate logic course.The package includes four pieces of software:Tarski's World 5.0, a new version of the popular program that teaches the basic first-order language and its semantics; Fitch, a natural deduction proof environment for giving and checking first-order proofs;Boole, a program that facilitates the construction and checking of truth tables and related notions (tautology, tautological consequence, etc.);Submit, a program that allows students to submit exercises done with the above programs to the Grade Grinder, the automatic grading service.Grade reports are returned to the student and, if requested, to the student's instructor, eliminating the need for tedious checking of homework. All programs are available for Windows, Macintosh and Linux systems.Instructors do not need to use the programs themselves in order to be able to take advantage of their pedagogical value. More about the software can be found at lpl.stanford.edu.The price of a new text/software package includes one Registration ID, which must be used each time work is submitted to the grading service. Once activated, the Registration ID is not transferable.

    With this book, you'll learn how to load data, assemble and disassemble data objects, navigate R's environment system, write your own functions, and use all of R's programming tools.RStudio Master Instructor Garrett Grolemund not only teaches you how to program, but also shows you how to get more from R than just visualizing and modeling data. You'll gain valuable programming skills and support your work as a data scientist at the same time.Work hands-on with three practical data analysis projects based on casino gamesStore, retrieve, and change data values in your computer's memoryWrite programs and simulations that outperform those written by typical R usersUse R programming tools such as if else statements, for loops, and S3 classesLearn how to write lightning-fast vectorized R codeTake advantage of R's package system and debugging toolsPractice and apply R programming concepts as you learn them

    The aim of a course in real analysis should be to challenge and improve mathematical intuition rather than to verify it. The philosophy of this book is to focus attention on questions which give analysis its inherent fascination.

    A software diskette provides an easy-to-use tool for students to derive probabilities for binomial.

    Since the publication of the First Edition over thirty years ago, Div, Grad, Curl, and All That has been widely renowned for its clear and concise coverage of vector calculus, helping science and engineering students gain a thorough understanding of gradient, curl, and Laplacian operators without required knowledge of advanced mathematics.

    This book covers relevant geometric principles and how to represent objects algebraically so they can be computed and applied. Recent major developments in the theory and practice of scene reconstruction are described in detail in a unified framework. Richard Hartley and Andrew Zisserman provide comprehensive background material and explain how to apply the methods and implement the algorithms. First Edition HB (2000): 0-521-62304-9

    To the extent possible, he has made a science of understanding how the US economy works almost as a living organism--how it grows and changes, surges and stalls. He has made a particular study of the question of productivity growth, at the heart of which is the riddle of innovation. Where does innovation come from, and how does it spread through a society? And why do some eras see the fruits of innovation spread more democratically, and others, including our own, see the opposite?In Capitalism in America, Greenspan distills a lifetime of grappling with these questions into a thrilling and profound master reckoning with the decisive drivers of the US economy over the course of its history. In partnership with the celebrated Economist journalist and historian Adrian Wooldridge, he unfolds a tale involving vast landscapes, titanic figures, triumphant breakthroughs, enlightenment ideals as well as terrible moral failings. Every crucial debate is here--from the role of slavery in the antebellum Southern economy to the real impact of FDR's New Deal to America's violent mood swings in its openness to global trade and its impact. But to read Capitalism in America is above all to be stirred deeply by the extraordinary productive energies unleashed by millions of ordinary Americans that have driven this country to unprecedented heights of power and prosperity. At heart, the authors argue, America's genius has been its unique tolerance for the effects of creative destruction, the ceaseless churn of the old giving way to the new, driven by new people and new ideas. Often messy and painful, creative destruction has also lifted almost all Americans to standards of living unimaginable to even the wealthiest citizens of the world a few generations past. A sense of justice and human decency demands that those who bear the brunt of the pain of change be protected, but America has always accepted more pain for more gain, and its vaunted rise cannot otherwise be understood, or its challenges faced, without recognizing this legacy. For now, in our time, productivity growth has stalled again, stirring up the populist furies. There's no better moment to apply the lessons of history to the most pressing question we face, that of whether the United States will preserve its preeminence, or see its leadership pass to other, inevitably less democratic powers.

    Originally published in England in the spring of 1944—when Eleanor Roosevelt supported the efforts of Stalin, and Albert Einstein subscribed lock, stock, and barrel to the socialist program—The Road to Serfdom was seen as heretical for its passionate warning against the dangers of state control over the means of production. For F. A. Hayek, the collectivist idea of empowering government with increasing economic control would inevitably lead not to a utopia but to the horrors of nazi Germany and fascist Italy.First published by the University of Chicago Press on September 18, 1944, The Road to Serfdom garnered immediate attention from the public, politicians, and scholars alike. The first printing of 2,000 copies was exhausted instantly, and within six months more than 30,000 were sold. In April of 1945, Reader's Digest published a condensed version of the book, and soon thereafter the Book-of-the-Month Club distributed this condensation to more than 600,000 readers. A perennial best-seller, the book has sold over a quarter of a million copies in the United States, not including the British edition or the nearly twenty translations into such languages as German, French, Dutch, Swedish, and Japanese, and not to mention the many underground editions produced in Eastern Europe before the fall of the iron curtain.After thirty-two printings in the United States, The Road to Serfdom has established itself alongside the works of Alexis de Tocqueville, John Stuart Mill, and George Orwell for its timeless meditation on the relation between individual liberty and government authority. This fiftieth anniversary edition, with a new introduction by Milton Friedman, commemorates the enduring influence of The Road to Serfdom on the ever-changing political and social climates of the twentieth century, from the rise of socialism after World War II to the Reagan and Thatcher "revolutions" in the 1980s and the transitions in Eastern Europe from communism to capitalism in the 1990s.F. A. Hayek (1899-1992), recipient of the Medal of Freedom in 1991 and co-winner of the Nobel Memorial Prize in Economics in 1974, was a pioneer in monetary theory and the principal proponent of libertarianism in the twentieth century.On the first American edition of The Road to Serfdom:"One of the most important books of our generation. . . . It restates for our time the issue between liberty and authority with the power and rigor of reasoning with which John Stuart Mill stated the issue for his own generation in his great essay On Liberty. . . . It is an arresting call to all well-intentioned planners and socialists, to all those who are sincere democrats and liberals at heart to stop, look and listen."—Henry Hazlitt, New York Times Book Review, September 1944"In the negative part of Professor Hayek's thesis there is a great deal of truth. It cannot be said too often—at any rate, it is not being said nearly often enough—that collectivism is not inherently democratic, but, on the contrary, gives to a tyrannical minority such powers as the Spanish Inquisitors never dreamt of."—George Orwell, Collected Essays

    While such visualizations can better inform us, they can also deceive by displaying incomplete or inaccurate data, suggesting misleading patterns—or simply misinform us by being poorly designed, such as the confusing “eye of the storm” maps shown on TV every hurricane season.Many of us are ill equipped to interpret the visuals that politicians, journalists, advertisers, and even employers present each day, enabling bad actors to easily manipulate visuals to promote their own agendas. Public conversations are increasingly driven by numbers, and to make sense of them we must be able to decode and use visual information. By examining contemporary examples ranging from election-result infographics to global GDP maps and box-office record charts, How Charts Lie teaches us how to do just that.

    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

    While many of the mathematicians and software engineers on Wall Street failed when their abstractions turned ugly in practice, a special breed of physicists has a much deeper history of revolutionizing finance. Taking us from fin-de-siècle Paris to Rat Pack-era Las Vegas, from wartime government labs to Yippie communes on the Pacific coast, Weatherall shows how physicists successfully brought their science to bear on some of the thorniest problems in economics, from options pricing to bubbles.The crisis was partly a failure of mathematical modeling. But even more, it was a failure of some very sophisticated financial institutions to think like physicists. Models—whether in science or finance—have limitations; they break down under certain conditions. And in 2008, sophisticated models fell into the hands of people who didn’t understand their purpose, and didn’t care. It was a catastrophic misuse of science.The solution, however, is not to give up on models; it's to make them better. Weatherall reveals the people and ideas on the cusp of a new era in finance. We see a geophysicist use a model designed for earthquakes to predict a massive stock market crash. We discover a physicist-run hedge fund that earned 2,478.6% over the course of the 1990s. And we see how an obscure idea from quantum theory might soon be used to create a far more accurate Consumer Price Index.Both persuasive and accessible, The Physics of Wall Street is riveting history that will change how we think about our economic future.

    Dent Jr., bestselling author of The Demographic Cliff and The Sale of a Lifetime, predicted the populist wave that has driven the Brexit vote, the election of Donald Trump, and other recent shocks around the world. Now he returns with the definitive guide to protect your investments and prosper in the age of the anti-globalist backlash.The turn of the 2020s will mark an extremely rare convergence of low points for multiple political, economic, and demographic cycles. The result will be a major financial crash and global upheaval that will dwarf the Great Recession of the 2000s—and maybe even the Great Depression of the 1930s. We’re facing the onset of what Dent calls “Economic Winter.”   In Zero Hour, he and Andrew Pancholi (author of The Market Timing Report newsletter) explain all of these cycles, which influence everything from currency valuations to election returns, from economic growth rates in Asia to birthrates in Europe. You’ll learn, for instance:   • Why the most-hyped technologies of recent years (self-driving cars, artificial intelligence, virtual reality, blockchain) won’t pay off until the 2030s.    • Why China may be the biggest bubble in the global economy (and you’d be a fool to invest there).    • Why you should invest in the healthcare and pharmaceutical industries, and pull out of real estate and automotive.    • Why putting your faith in gold is a bad idea.   Fortunately, Zero Hour includes a range of practical strategies to help you turn the upheaval ahead to your advantage, so your family can be prepared and protected.

    Explaining how, why, and when the techniques can be expected to work, the Seventh Edition places an even greater emphasis on building readers' intuition to help them understand why the techniques presented work in general, and why, in some situations, they fail. Applied problems from diverse areas, such as engineering and physical, computer, and biological sciences, are provided so readers can understand how numerical methods are used in real-life situations. The Seventh Edition has been updated and now addresses the evolving use of technology, incorporating it whenever appropriate.

    Topics covered in the book include linear equations, ratios, quadratic equations, special factorizations, complex numbers, graphing linear and quadratic equations, linear and quadratic inequalities, functions, polynomials, exponents and logarithms, absolute value, sequences and series, and much more!The text is structured to inspire the reader to explore and develop new ideas. Each section starts with problems, giving the student a chance to solve them without help before proceeding. The text then includes solutions to these problems, through which algebraic techniques are taught. Important facts and powerful problem solving approaches are highlighted throughout the text. In addition to the instructional material, the book contains well over 1000 problems.This book can serve as a complete Algebra I course, and also includes many concepts covered in Algebra II. Middle school students preparing for MATHCOUNTS, high school students preparing for the AMC, and other students seeking to master the fundamentals of algebra will find this book an instrumental part of their mathematics libraries.656About the author: Richard Rusczyk is a co-author of Art of Problem Solving, Volumes 1 and 2, the author of Art of Problem Solving's Introduction to Geometry. He was a national MATHCOUNTS participant, a USA Math Olympiad winner, and is currently director of the USA Mathematical Talent Search.

    Emotions play a powerful role in shaping our financial behavior, often making us our own worst enemies as we try to save, access value, and spend responsibly. In Dollars and Sense, bestselling author and behavioral economist Dan Ariely teams up with financial comedian and writer Jeff Kreisler to challenge many of our most basic assumptions about the precarious relationship between our brains and our money. In doing so, they undermine many of personal finance’s most sacred beliefs and explain how we can override some of our own instincts to make better financial choices.Exploring a wide range of everyday topics—from the lure of pain-free spending with credit cards to the  pitfalls of household budgeting to the seductive power of holiday sales—Ariely and Kreisler demonstrate how our misplaced confidence in our spending habits frequently leads us astray, costing us more than we realize, whether it’s the real value of the time we spend driving forty-five minutes to save $10 or our inability to properly assess what the things we buy are actually worth. Together Ariely and Kreisler reveal the emotional forces working against us and how we can counteract them. Mixing case studies and anecdotes with concrete advice and lessons, they cut through the unconscious fears and desires driving our worst financial instincts and teach us how to improve our money habits.The result not only reveals the rationale behind our most head-scratching financial choices but also offers clear guidance for navigating the treacherous financial landscape of the brain. Fascinating, engaging, funny, and essential, Dollars and Sense provides the practical tools we need to understand and improve our financial choices, save and spend smarter, and ultimately live better.