The real-life Nickel and Dimed—the author of the wildly popular “Poverty Thoughts” essay tells what it’s like to be working poor in America. ONE OF THE FIVE MOST IMPORTANT BOOKS OF THE YEAR--Esquire “DEVASTATINGLY SMART AND FUNNY. I am the author of Nickel and Dimed, which tells the story of my own brief attempt, as a semi-undercover journalist, to survive on low-wage retail and service jobs. TIRADO IS THE REAL THING.”—Barbara Ehrenreich, from the Foreword As the haves and have-nots grow more separate and unequal in America, the working poor don’t get heard from much. Now they have a voice—and it’s forthright, funny, and just a little bit furious. Here, Linda Tirado tells what it’s like, day after day, to work, eat, shop, raise kids, and keep a roof over your head without enough money. She also answers questions often asked about those who live on or near minimum wage: Why don’t they get better jobs? Why don’t they make better choices? Why do they smoke cigarettes and have ugly lawns? Why don’t they borrow from their parents? Enlightening and entertaining, Hand to Mouth opens up a new and much-needed dialogue between the people who just don’t have it and the people who just don’t get it.

This second and revised edition contains a detailed introduction to the key classes of intelligent data analysis methods. The twelve coherently written chapters by leading experts provide complete coverage of the core issues. The first half of the book is devoted to the discussion of classical statistical issues. The following chapters concentrate on machine learning and artificial intelligence, rule induction methods, neural networks, fuzzy logic, and stochastic search methods. The book concludes with a chapter on visualization and an advanced overview of IDA processes.

"A startling argument . . . provocative . . . absorbing." --The Boston Globe "Ambitious . . . arresting . . . celebrates the importance of hands to our lives today as well as to the history of our species." --The New York Times Book Review The human hand is a miracle of biomechanics, one of the most remarkable adaptations in the history of evolution. The hands of a concert pianist can elicit glorious sound and stir emotion; those of a surgeon can perform the most delicate operations; those of a rock climber allow him to scale a vertical mountain wall. Neurologist Frank R. Wilson makes the striking claim that it is because of the unique structure of the hand and its evolution in cooperation with the brain that Homo sapiens became the most intelligent, preeminent animal on the earth. In this fascinating book, Wilson moves from a discussion of the hand's evolution--and how its intimate communication with the brain affects such areas as neurology, psychology, and linguistics--to provocative new ideas about human creativity and how best to nurture it. Like Oliver Sacks and Stephen Jay Gould, Wilson handles a daunting range of scientific knowledge with a surprising deftness and a profound curiosity about human possibility. Provocative, illuminating, and delightful to read, The Hand encourages us to think in new ways about one of our most taken-for-granted assets. "A mark of the book's excellence [is that] it makes the reader aware of the wonder in trivial, everyday acts, and reveals the complexity behind the simplest manipulation." --The Washington Post

An engrossing guide to seeing—and communicating—more clearly from the groundbreaking course that helps FBI agents, cops, CEOs, ER docs, and others save money, reputations, and lives. How could looking at Monet’s water lily paintings help save your company millions? How can checking out people’s footwear foil a terrorist attack? How can your choice of adjective win an argument, calm your kid, or catch a thief? In her celebrated seminar, the Art of Perception, art historian Amy Herman has trained experts from many fields how to perceive and communicate better. By showing people how to look closely at images, she helps them hone their “visual intelligence,” a set of skills we all possess but few of us know how to use properly. She has spent more than a decade teaching doctors to observe patients instead of their charts, helping police officers separate facts from opinions when investigating a crime, and training professionals from the FBI, the State Department, Fortune 500 companies, and the military to recognize the most pertinent and useful information. Her lessons highlight far more than the physical objects you may be missing; they teach you how to recognize the talents, opportunities, and dangers that surround you every day. Whether you want to be more effective on the job, more empathetic toward your loved ones, or more alert to the trove of possibilities and threats all around us, this book will show you how to see what matters most to you more clearly than ever before. Please note: this ebook contains full-color art reproductions and photographs, and color is at times essential to the observation and analysis skills discussed in the text. For the best reading experience, this ebook should be viewed on a color device.

Grayson makes sign language accessible, easy, and fun with this comprehensive primer to the techniques, words, and phrases of signing. 800 illustrative photos.

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, 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 a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets Use Scikit-Learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets