When we make mistakes, we must calm the cognitive dissonance that jars our feelings of self-worth. And so we create fictions that absolve us of responsibility, restoring our belief that we are smart, moral, and right -- a belief that often keeps us on a course that is dumb, immoral, and wrong. Backed by years of research and delivered in lively, energetic prose, Mistakes Were Made (But Not by Me) offers a fascinating explanation of self-deception -- how it works, the harm it can cause, and how we can overcome it.

    During that week, you will learn almost everything modern machine learning has to offer. The author and other practitioners have spent years learning these concepts.Companion wiki — the book has a continuously updated wiki that extends some book chapters with additional information: Q&A, code snippets, further reading, tools, and other relevant resources.Flexible price and formats — choose from a variety of formats and price options: Kindle, hardcover, paperback, EPUB, PDF. If you buy an EPUB or a PDF, you decide the price you pay!Read first, buy later — download book chapters for free, read them and share with your friends and colleagues. Only if you liked the book or found it useful in your work, study or business, then buy it.

    Cleckley, first published in 1941, describing Cleckley's clinical interviews with patients in a locked institution. The text is considered to be a seminal work and the most influential clinical description of psychopathy in the twentieth century. The basic elements of psychopathy outlined by Cleckley are still relevant today. The title refers to the normal "mask" that conceals the mental disorder of the psychopathic person in Cleckley's conceptualization.

    The physical sciences and engineering claim to be the basis of modern technology and therefore of modern life; the social sciences discuss big issues of governance, for example, democracy and taxation; the humanities claim that they revive your soul after it has been deadened by exposure to the physical and social sciences and to engineering. Where does the subject "games of strategy," often also called game theory, fit into this picture, and why should you study it? Dixit and Skeath's Games of Strategy offers a practical motivation much more individual and closer to your personal concerns than most other subjects. You play games of strategy all the time: with your parents, siblings, friends, enemies, even with your professors. You have probably acquired a lot of instinctive expertise, and we hope you will recognize in what follows some of the lessons you have already learned. This book's authors will build on this experience, systematize it, and develop it to the point where you will be able to improve your strategic skills and use them more methodically. Opportunities for such uses will appear throughout the rest of your life; you will go on playing such games with your employers, employees, spouses, children, and even strangers. Not that the subject lacks wider importance. Similar games are played in business, politics, diplomacy, wars--in fact, whenever people interact to strike mutually agreeable deals or to resolve conflicts. Being able to recognize such games will enrich your understanding of the world around you, and will make you a better participant in all its affairs.

    Its now-classic analysis of the “new middle class” in terms of inner-directed and other-directed social character opened exciting new dimensions in our understanding of the psychological, political, and economic problems that confront the individual in contemporary American society. The 1969 abridged and revised edition of the book is now reissued with a new foreword by Todd Gitlin that explains why the book is still relevant to our own era.“As accessible as it is acute, The Lonely Crowd is indispensable reading for anyone who wishes to understand American society. After half a century, this book has lost none of its capacity to make sense of how we live.”—Todd GitlinPraise for the earlier editions:"One of the most penetrating and comprehensive views of the twentieth-century urban American you're likely to find."—Commonweal"Brilliant and original."—Arthur M. Schlesinger, Jr.

    The Ulitimate Guide to Thesis WritingIn "How to Write a Thesis," you will find practical, easy-to-follow advice for mastering this challenge, from getting started to revising.

    The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. *NEW-Nontechnical learning material-Accompanies each part of the book. *NEW-The Internet as a sample application for intelligent systems-Added in several places including logical agents, planning, and natural language. *NEW-Increased coverage of material - Includes expanded coverage of: default reasoning and truth maintenance systems, including multi-agent/distributed AI and game theory; probabilistic approaches to learning including EM; more detailed descriptions of probabilistic inference algorithms. *NEW-Updated and expanded exercises-75% of the exercises are revised, with 100 new exercises. *NEW-On-line Java software. *Makes it easy for students to do projects on the web using intelligent agents. *A unified, agent-based approach to AI-Organizes the material around the task of building intelligent agents. *Comprehensive, up-to-date coverage-Includes a unified view of the field organized around the rational decision making pa

    In addition to explaining the basic moves, this book provides writing templates that show students explicitly how to make these moves in their own writing.

    Each chapter of An Introduction to Brain and Behavior explores a specific question asked by working neuroscientists and students (i.e. "Why do we have a brain?"  "How is the nervous system organized?").  This approach brings coherence to a vast subject, and helps students understand what information is important as their study of brain and behavior progresses chapter to chapter.

    Information is provided on the fundamental concepts of table and graph design, the numbers and knowledge most suitable for display in a graphic form, the best tabular means to communicate certain ideas, and the component-level aspects of design. Analysts, technicians, and managers will appreciate the solid theory behind this outline for ensuring that tables and graphs present quantitative business information in a truthful, attractive format that facilitates better decision making.

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    The author's objective is to offer an understanding of what leads to these moments, be it the excitement of the artist at the easel or the scientist in the lab, so that knowledge can be used to enrich people's lives. Drawing on 100 interviews with exceptional people, from biologists and physicists to politicians and business leaders, poets and artists, as well as his 30 years of research on the subject, Csikszentmihalyi uses his famous theory to explore the creative process. He discusses such ideas as why creative individuals are often seen as selfish and arrogant, and why the tortured genius is largely a myth. Most important, he clearly explains why creativity needs to be cultivated and is necessary for the future of our country, if not the world.

    And yet, we are the safest and healthiest humans in history. Irrational fear seems to be taking over, often with tragic results. For example, in the months after 9/11, when people decided to drive instead of fly—believing they were avoiding risk—road deaths rose by more than 1,500. In this fascinating, lucid, and thoroughly entertaining examination of how humans process risk, journalist Dan Gardner had the exclusive cooperation of Paul Slovic, the world renowned risk-science pioneer, as he reveals how our hunter gatherer brains struggle to make sense of a world utterly unlike the one that made them. Filled with illuminating real world examples, interviews with experts, and fast-paced, lean storytelling, The Science of Fear shows why it is truer than ever that the worst thing we have to fear is fear itself.

    With deft use of examples of humor and wordplay, Steven Pinker weaves our vast knowledge of language into a compelling story: language is a human instinct, wired into our brains by evolution. The Language Instinct received the William James Book Prize from the American Psychological Association and the Public Interest Award from the Linguistics Society of America. This edition includes an update on advances in the science of language since The Language Instinct was first published.

    We think we're making smart, rational choices. But are we?In a series of illuminating, often surprising experiments, MIT behavioral economist Dan Ariely refutes the common assumption that we behave in fundamentally rational ways. Blending everyday experience with groundbreaking research, Ariely explains how expectations, emotions, social norms, and other invisible, seemingly illogical forces skew our reasoning abilities.Not only do we make astonishingly simple mistakes every day, but we make the same "types" of mistakes, Ariely discovers. We consistently overpay, underestimate, and procrastinate. We fail to understand the profound effects of our emotions on what we want, and we overvalue what we already own. Yet these misguided behaviors are neither random nor senseless. They're systematic and predictable--making us "predictably" irrational.From drinking coffee to losing weight, from buying a car to choosing a romantic partner, Ariely explains how to break through these systematic patterns of thought to make better decisions. "Predictably Irrational" will change the way we interact with the world--one small decision at a time.