Under the direction of Stephen Greenblatt, General Editor, the editors have reconsidered all aspects of the anthology to make it an even better teaching tool.

    It features chapters on 'Language in Use', 'Attitudes to Language', 'Children and Language' and 'Language, Mind and Brain'.

    Never again will you order the Poisson Distribution in a French restaurant!This updated version features all new material.

    Is it Rita's years of PMP exam preparation experience? The endless hours of ongoing research? The interviews with project managers who failed the exam, to identify gaps in their knowledge? Or is it the razor-sharp focus on making sure project managers don't waste a single minute of their time studying any more than they absolutely have to? Actually, it's all of the above. PMP Exam Prep, Sixth Edition by Rita Mulcahy contains hundreds of updates and improvements from previous editions--including new exercises and sample questions never before in print. Offering hundreds of sample questions, critical time-saving tips plus games and activities available nowhere else, this book will help you pass the PMP exam on your first try.

    It shows how causality has grown from a nebulous concept into a mathematical theory with significant applications in the fields of statistics, artificial intelligence, philosophy, cognitive science, and the health and social sciences. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural approaches to causation, and devises simple mathematical tools for analyzing the relationships between causal connections, statistical associations, actions and observations. The book will open the way for including causal analysis in the standard curriculum of statistics, artifical intelligence, business, epidemiology, social science and economics. Students in these areas will find natural models, simple identification procedures, and precise mathematical definitions of causal concepts that traditional texts have tended to evade or make unduly complicated. This book will be of interest to professionals and students in a wide variety of fields. Anyone who wishes to elucidate meaningful relationships from data, predict effects of actions and policies, assess explanations of reported events, or form theories of causal understanding and causal speech will find this book stimulating and invaluable. Professor of Computer Science at the UCLA, Judea Pearl is the winner of the 2008 Benjamin Franklin Award in Computers and Cognitive Science.

    Neil Armstrong responded by switching off the automatic mode and taking direct control. He stopped monitoring the computer and began flying the spacecraft, relying on skill to land it and earning praise for a triumph of human over machine. In Digital Apollo, engineer-historian David Mindell takes this famous moment as a starting point for an exploration of the relationship between humans and computers in the Apollo program. In each of the six Apollo landings, the astronaut in command seized control from the computer and landed with his hand on the stick. Mindell recounts the story of astronauts' desire to control their spacecraft in parallel with the history of the Apollo Guidance Computer. From the early days of aviation through the birth of spaceflight, test pilots and astronauts sought to be more than "spam in a can" despite the automatic controls, digital computers, and software developed by engineers.Digital Apollo examines the design and execution of each of the six Apollo moon landings, drawing on transcripts and data telemetry from the flights, astronaut interviews, and NASA's extensive archives. Mindell's exploration of how human pilots and automated systems worked together to achieve the ultimate in flight -- a lunar landing -- traces and reframes the debate over the future of humans and automation in space. The results have implications for any venture in which human roles seem threatened by automated systems, whether it is the work at our desktops or the future of exploration.

      The feud between this nation’s great air pioneers, the Wright brothers and Glenn Curtiss, was a collision of unyielding and profoundly American personalities. On one side, a pair of tenacious siblings who together had solved the centuries-old riddle of powered, heavier-than-air flight. On the other, an audacious motorcycle racer whose innovative aircraft became synonymous in the public mind with death-defying stunts. For more than a decade, they battled each other in court, at air shows, and in the newspapers. The outcome of this contest of wills would shape the course of aviation history—and take a fearsome toll on the men involved. Birdmen sets the engrossing story of the Wrights’ war with Curtiss against the thrilling backdrop of the early years of manned flight, and is rich with period detail and larger-than-life personalities: Thomas Scott Baldwin, or “Cap’t Tom” as he styled himself, who invented the parachute and almost convinced the world that balloons were the future of aviation; John Moisant, the dapper daredevil who took to the skies after three failed attempts to overthrow the government of El Salvador, then quickly emerged as a celebrity flyer; and Harriet Quimby, the statuesque silent-film beauty who became the first woman to fly across the English Channel. And then there is Lincoln Beachey, perhaps the greatest aviator who ever lived, who dazzled crowds with an array of trademark twists and dives—and best embodied the romance with death that fueled so many of aviation’s earliest heroes.   A dramatic story of unimaginable bravery in the air and brutal competition on the ground, Birdmen is at once a thrill ride through flight’s wild early years and a surprising look at the personal clash that fueled America’s race to the skies.Praise for Birdmen  “A meticulously researched account of the first few hectic, tangled years of aviation and the curious characters who pursued it . . . a worthy companion to Richard Holmes’s marvelous history of ballooning, Falling Upwards.”—Time   “The daredevil scientists and engineers who forged the field of aeronautics spring vividly to life in Lawrence Goldstone’s history.”—Nature  “The history of the development of an integral part of the modern world and a fascinating portrayal of how a group of men and women achieved a dream that had captivated humanity for centuries.”—The Christian Science Monitor  “Captivating and wonderfully presented . . . a fine book about these rival pioneers.”—The Wall Street Journal   “[A] vivid story of invention, vendettas, derring-do, media hype and patent fights [with] modern resonance.”—Financial Times  “A powerful story that contrasts soaring hopes with the anchors of ego and courtroom.” —Kirkus Reviews   “A riveting narrative about the pioneering era of aeronautics in America and beyond . . . Goldstone raises questions of enduring importance regarding innovation and the indefinite exertion of control over ideas that go public.”—Publishers Weekly (starred review)

    Aimed at undergraduate students in mathematics, physics, and engineering, the book's intuitive explanations, lack ofadvanced prerequisites, and consciously user-friendly prose style will help students to master the subject more readily than was previously possible. The key to this is the book's use of new geometric arguments in place of the standard calculational ones. These geometric arguments are communicatedwith the aid of hundreds of diagrams of a standard seldom encountered in mathematical works. A new approach to a classical topic, this work will be of interest to students in mathematics, physics, and engineering, as well as to professionals in these fields.

    At thirty years old, Gabriel Wyner speaks six languages fluently.  He didn’t learn them in school -- who does? -- rather, he learned them in the past few years, working on his own and practicing on the subway, using simple techniques and free online resources. In Fluent Forever Wyner reveals what he’s discovered.   The greatest challenge to learning a foreign language is the challenge of memory; there are just too many words and too many rules. For every new word we learn, we seem to forget two old ones, and as a result, fluency can seem out of reach. Fluent Forever tackles this challenge head-on. With empathy for the language-challenged and abundant humor, Wyner deconstructs the learning process, revealing how to build a foreign language in your mind from the ground up.  Starting with pronunciation, you’ll learn how to rewire your ears and turn foreign sounds into familiar sounds. You'll retrain your tongue to produce those sounds accurately, using tricks from opera singers and actors. Next, you'll begin to tackle words, and connect sounds and spellings to imagery, rather than translations, which will enable you to think in a foreign language.  And with the help of sophisticated spaced-repetition techniques, you'll be able to memorize hundreds of words a month in minutes every day. Soon, you'll gain the ability to learn grammar and more difficult abstract words--without the tedious drills and exercises of language classes and grammar books.  This is brain hacking at its most exciting, taking what we know about neuroscience and linguistics and using it to create the most efficient and enjoyable way to learn a foreign language in the spare minutes of your day.

    While the text is descriptive (largely conceptual) it does provide quantitative material, including worked examples in optional boxed sections.

    The field is ready for a text that not only demonstrates how to use the algorithms that make up machine learning methods, but also provides the background needed to understand how and why these algorithms work. Machine Learning: An Algorithmic Perspective is that text.Theory Backed up by Practical ExamplesThe book covers neural networks, graphical models, reinforcement learning, evolutionary algorithms, dimensionality reduction methods, and the important area of optimization. It treads the fine line between adequate academic rigor and overwhelming students with equations and mathematical concepts. The author addresses the topics in a practical way while providing complete information and references where other expositions can be found. He includes examples based on widely available datasets and practical and theoretical problems to test understanding and application of the material. The book describes algorithms with code examples backed up by a website that provides working implementations in Python. The author uses data from a variety of applications to demonstrate the methods and includes practical problems for students to solve.Highlights a Range of Disciplines and ApplicationsDrawing from computer science, statistics, mathematics, and engineering, the multidisciplinary nature of machine learning is underscored by its applicability to areas ranging from finance to biology and medicine to physics and chemistry. Written in an easily accessible style, this book bridges the gaps between disciplines, providing the ideal blend of theory and practical, applicable knowledge."

    Wolke, professor emeritus of chemistry at the University of Pittsburgh and acclaimed author of What Einstein Didn't Know, understands the need to...well, understand. Now he provides more amusing explanations of such everyday phenomena as gravity (If you're in a falling elevator, will jumping at the last instant save your life?) and acoustics (Why does a whip make such a loud cracking noise?), along with amazing facts, belly-up-to-the-bar bets, and mind-blowing reality bites all with his trademark wit and wisdom.If you shoot a bullet into the air, can it kill somebody when it comes down? You can find out about all this and more in an astonishing compendium of the proverbial mind-boggling mysteries of the physical world we inhabit.Arranged in a question-and-answer format and grouped by subject for browsing ease, WHAT EINSTEIN TOLD HIS BARBER is for anyone who ever pondered such things as why colors fade in sunlight, what happens to the rubber from worn-out tires, what makes red-hot objects glow red, and other scientific curiosities. Perfect for fans of Newton's Apple, Jeopardy!, and The Discovery Channel, WHAT EINSTEIN TOLD HIS BARBER also includes a glossary of important scientific buzz words and a comprehensive index. -->