In this lively and groundbreaking new book, economist Ian Ayres shows how today's best and brightest organizations are analyzing massive databases at lightening speed to provide greater insights into human behavior. They are the Super Crunchers. From internet sites like Google and Amazon that know your tastes better than you do, to a physician's diagnosis and your child's education, to boardrooms and government agencies, this new breed of decision makers are calling the shots. And they are delivering staggeringly accurate results. How can a football coach evaluate a player without ever seeing him play? Want to know whether the price of an airline ticket will go up or down before you buy? How can a formula outpredict wine experts in determining the best vintages? Super crunchers have the answers. In this brave new world of equation versus expertise, Ayres shows us the benefits and risks, who loses and who wins, and how super crunching can be used to help, not manipulate us.Gone are the days of solely relying on intuition to make decisions. No businessperson, consumer, or student who wants to stay ahead of the curve should make another keystroke without reading Super Crunchers.

    This book synthesizes these recent advances and makes them accessible to first-year graduate students. James Hamilton provides the first adequate text-book treatments of important innovations such as vector autoregressions, generalized method of moments, the economic and statistical consequences of unit roots, time-varying variances, and nonlinear time series models. In addition, he presents basic tools for analyzing dynamic systems (including linear representations, autocovariance generating functions, spectral analysis, and the Kalman filter) in a way that integrates economic theory with the practical difficulties of analyzing and interpreting real-world data. Time Series Analysis fills an important need for a textbook that integrates economic theory, econometrics, and new results.The book is intended to provide students and researchers with a self-contained survey of time series analysis. It starts from first principles and should be readily accessible to any beginning graduate student, while it is also intended to serve as a reference book for researchers.-- "Journal of Economics"

    Deviant Behavior covers a wide spectrum of theories of deviance, and analyzes numerous specific deviant behaviors. The author uses an abundance of research data, including many that debunk our common assumptions about deviant behavior. Students are exposed to the full range of theories and data about deviance, and are challenged to think about and evaluate their own biases and preconceptions.

    The R language is recognised as one of the most powerful and flexible statistical software packages, and it enables the user to apply many statistical techniques that would be impossible without such software to help implement such large data sets.

    This easy-to-use guide is updated and expanded to include new computer and technology signs and offers a fast and simple approach to learning. Includes:- Vocabulary reviews- Fingerspelling exercises- Sign matching and memory aids- A complete glossary and a comprehensive index- Clear instructive drawings

    . . It’s Complicated will update your mind.”—Alissa Quart, New York Times Book Review  “A fascinating, well-researched and (mostly) reassuring look at how today's tech-savvy teenagers are using social media.”—People  “The briefest possible summary? The kids are all right, but society isn’t.”—Andrew Leonard, Salon   What is new about how teenagers communicate through services such as Facebook, Twitter, and Instagram? Do social media affect the quality of teens’ lives? In this eye-opening book, youth culture and technology expert danah boyd uncovers some of the major myths regarding teens' use of social media. She explores tropes about identity, privacy, safety, danger, and bullying. Ultimately, boyd argues that society fails young people when paternalism and protectionism hinder teenagers’ ability to become informed, thoughtful, and engaged citizens through their online interactions. Yet despite an environment of rampant fear-mongering, boyd finds that teens often find ways to engage and to develop a sense of identity. Boyd’s conclusions are essential reading not only for parents, teachers, and others who work with teens but also for anyone interested in the impact of emerging technologies on society, culture, and commerce in years to come. Offering insights gleaned from more than a decade of original fieldwork interviewing teenagers across the United States, boyd concludes reassuringly that the kids are all right. At the same time, she acknowledges that coming to terms with life in a networked era is not easy or obvious. In a technologically mediated world, life is bound to be complicated.

    But what if science itself can’t be relied on?Medicine, education, psychology, health, parenting – wherever it really matters, we look to science for advice. Science Fictions reveals the disturbing flaws that undermine our understanding of all of these fields and more.While the scientific method will always be our best and only way of knowing about the world, in reality the current system of funding and publishing science not only fails to safeguard against scientists’ inescapable biases and foibles, it actively encourages them. From widely accepted theories about ‘priming’ and ‘growth mindset’ to claims about genetics, sleep, microbiotics, as well as a host of drugs, allergies and therapies, we can trace the effects of unreliable, overhyped and even fraudulent papers in austerity economics, the anti-vaccination movement and dozens of bestselling books – and occasionally count the cost in human lives.Stuart Ritchie was among the first people to help expose these problems. In this vital investigation, he gathers together the evidence of their full and shocking extent – and how a new reform movement within science is fighting back. Often witty yet deadly serious, Science Fictions is at the vanguard of the insurgency, proposing a host of remedies to save and protect this most valuable of human endeavours from itself.

    This edition incorporates current research methodology—including molecular and genetic clinical research—and offers an updated syllabus for conducting a clinical research workshop.Emphasis is on common sense as the main ingredient of good science. The book explains how to choose well-focused research questions and details the steps through all the elements of study design, data collection, quality assurance, and basic grant-writing. All chapters have been thoroughly revised, updated, and made more user-friendly.

    Now, Steven D. Levitt and Stephen J. Dubner return with SuperFreakonomics, and fans and newcomers alike will find that the freakquel is even bolder, funnier, and more surprising than the first.Four years in the making, SuperFreakonomics asks not only the tough questions, but the unexpected ones: What's more dangerous, driving drunk or walking drunk? Why is chemotherapy prescribed so often if it's so ineffective? Can a sex change boost your salary?SuperFreakonomics challenges the way we think all over again, exploring the hidden side of everything with such questions as:How is a street prostitute like a department-store Santa?Why are doctors so bad at washing their hands?How much good do car seats do?What's the best way to catch a terrorist?Did TV cause a rise in crime?What do hurricanes, heart attacks, and highway deaths have in common?Are people hard-wired for altruism or selfishness?Can eating kangaroo save the planet?Which adds more value: a pimp or a Realtor?Levitt and Dubner mix smart thinking and great storytelling like no one else, whether investigating a solution to global warming or explaining why the price of oral sex has fallen so drastically. By examining how people respond to incentives, they show the world for what it really is – good, bad, ugly, and, in the final analysis, super freaky.Freakonomics has been imitated many times over – but only now, with SuperFreakonomics, has it met its match.

    Terms and phrases such as "the global village" and "the medium is the message" are now part of the lexicon, and McLuhan's theories continue to challenge our sensibilities and our assumptions about how and what we communicate.There has been a notable resurgence of interest in McLuhan's work in the last few years, fueled by the recent and continuing conjunctions between the cable companies and the regional phone companies, the appearance of magazines such as WiRed, and the development of new media models and information ecologies, many of which were spawned from MIT's Media Lab. In effect, media now begs to be redefined. In a new introduction to this edition of Understanding Media, Harper's editor Lewis Lapham reevaluates McLuhan's work in the light of the technological as well as the political and social changes that have occurred in the last part of this century.

    No previous knowledge of statistics is assumed, and mathematical background is assumed to be minimal (lowest-level high-school algebra). This text may be used in a one or two course sequence. Such sequences are commonly required of social science graduate students in sociology, political science, and psychology. Students in geography, anthropology, journalism, and speech also are sometimes required to take at least one statistics course.

    For the seventeenth-century aristocratic Frenchman, it meant changing his shirt once a day, using perfume to obliterate both his own aroma and everyone else’s, but never immersing himself in – horrors! – water. By the early 1900s, an extraordinary idea took hold in North America – that frequent bathing, perhaps even a daily bath, was advisable. Not since the Roman Empire had people been so clean, and standards became even more extreme as the millennium approached. Now we live in a deodorized world where germophobes shake hands with their elbows and where sales of hand sanitizers, wipes and sprays are skyrocketing.The apparently routine task of taking up soap and water (or not) is Katherine Ashenburg’s starting point for a unique exploration of Western culture, which yields surprising insights into our notions of privacy, health, individuality, religion and sexuality.Ashenburg searches for clean and dirty in plague-ridden streets, medieval steam baths, castles and tenements, and in bathrooms of every description. She reveals the bizarre rescriptions of history’s doctors as well as the hygienic peccadilloes of kings, mistresses, monks and ordinary citizens, and guides us through the twists and turns to our own understanding of clean, which is no more rational than the rest. Filled with amusing anecdotes and quotations from the great bathers of history, The Dirt on Clean takes us on a journey that is by turns intriguing, humorous, startling and not always for the squeamish. Ashenburg’s tour of history’s baths and bathrooms reveals much about our changing and most intimate selves – what we desire, what we ignore, what we fear, and a significant part of who we are.

    

    You must first approach the subject with the proper sense of perception, with the ability to visualize the finished print before you commit a scene to pixels, but still be flexible and spontaneous. Master Fine Art photographer Vincent Versace has spent his career learning and teaching the art of perception and how to translate it into stunning images. In Welcome to Oz,  he delves into what it means to approach digital photography cinematically, to use your perception, your camera, and Photoshop to capture the movement of life in a still image. Features: Adapt your workflow to the image so you always know how best to use your tools Turn a seemingly impossible photographic scenario into a successful image Practice “image harvesting” to combine the best parts of  many captures to create an optimum final result Create black and white prints that have the look, feel and “richness” of traditional silver prints without ever leaving the RGB color space 224 pages.

    Now that machine learning is thriving, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn how to use a range of techniques, starting with simple Linear Regression and progressing to Deep Neural Networks. If you have some programming experience and you’re ready to code a machine learning project, this guide is for you.This hands-on book shows you how to use:Scikit-Learn, an accessible framework that implements many algorithms efficiently and serves as a great machine learning entry pointTensorFlow, a more complex library for distributed numerical computation, ideal for training and running very large neural networksPractical code examples that you can apply without learning excessive machine learning theory or algorithm details