However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation. Similarly, new models based on kernels have had a significant impact on both algorithms and applications. This new textbook reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners, and assumes no previous knowledge of pattern recognition or machine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

    Chapters are organized according to a strong pedagogy, featuring learning objectives, a chapter outline, a First Things First opening vignette, boldface key terms, a summary of key points, questions for review, questions for analysis, end of chapter exercises, and an end-of-the-chapter case with questions.

    Quincy Jones, Diane Keaton, Gloria Steinem, Julia Roberts, John Cleese and David Bowie are just a few of his celebrity alumni. Writers, producers, development executives and agents all flock to his lecture series, praising it as a mesmerizing and intense learning experience. In Story, McKee expands on the concepts he teaches in his $450 seminars (considered a must by industry insiders), providing readers with the most comprehensive, integrated explanation of the craft of writing for the screen. No one better understands how all the elements of a screenplay fit together, and no one is better qualified to explain the "magic" of story construction and the relationship between structure and character than Robert McKee.

    Who Owns the Future? is his visionary reckoning with the most urgent economic and social trend of our age: the poisonous concentration of money and power in our digital networks.Lanier has predicted how technology will transform our humanity for decades, and his insight has never been more urgently needed. He shows how Siren Servers, which exploit big data and the free sharing of information, led our economy into recession, imperiled personal privacy, and hollowed out the middle class. The networks that define our world—including social media, financial institutions, and intelligence agencies—now threaten to destroy it.But there is an alternative. In this provocative, poetic, and deeply humane book, Lanier charts a path toward a brighter future: an information economy that rewards ordinary people for what they do and share on the web.

    But as scientists break open the mind’s black box with the latest tools of neuroscience, they’re discovering that this is not how the mind works. Our best decisions are a finely tuned blend of both feeling and reason—and the precise mix depends on the situation. When buying a house, for example, it’s best to let our unconscious mull over the many variables. But when we’re picking a stock, intuition often leads us astray. The trick is to determine when to use the different parts of the brain, and to do this, we need to think harder (and smarter) about how we think.Jonah Lehrer arms us with the tools we need, drawing on cutting-edge research as well as the real-world experiences of a wide range of “deciders”—from airplane pilots and hedge fund investors to serial killers and poker players.Lehrer shows how people are taking advantage of the new science to make better television shows, win more football games, and improve military intelligence. His goal is to answer two questions that are of interest to just about anyone, from CEOs to firefighters: How does the human mind make decisions? And how can we make those decisions better?

    The streamlined Third Edition of THE BASICS OF SOCIAL RESEARCH focuses particularly on the application of social research, emphasizing the fundamental concepts of both quantitative and qualitative research methods. Inductive chapter openings pose social research problems that are addressed and resolved in each chapter through the application of key chapter concepts. Each chapter contains detailed examples and sections on how to interpret the results of data analysis. The text provides students with the necessary tools for understanding the basics of social research methods and for applying these concepts both inside and outside the classroom.

    All those vessels going to the brain. Carrying nutrients so you can think. Which I hadn’t . . . I was stunned. But I hadn’t lost yet. I still had the phone. And two options." There are a select few people who get things done. Spies are first among them. In a 45 minute read, a former spy introduces two simple tools for thinking. The first describes how we think. The second helps us think ahead. They are the essential tools for getting things done. The tools are applied to an incident in a subway car in Europe where a spy faces a new enemy. Then, they're reapplied to Saddam Hussein's stockpiling (or not) of weapons of mass destruction. John Braddock was a case officer at the CIA. He developed, recruited and handled sources on weapons proliferation, counter-terrorism and political-military issues. A former university research fellow, he is now a strategy consultant. He helps people and organizations think more effectively about their strategy, their customers and the competition.

    Instead of forcing users to conform to a product design or experience, designers need to learn how users behave and interact with various digital interfaces.This guide provides some key principles from psychology to help you design more intuitive, human-centered products and experiences. Humans have an underlying blueprint for how we perceive and process the world around us, and through simple lessons in psychology, this guide will help you define this blueprint.