It was a thrilling era of open cockpits, silk scarves, leather helmets, and goggles. After serving in World War II, Sutter joined Boeing, then a small company, eager to build airplanes.In July 1965, he was asked to lead the large Boeing team designing the new 747. Pan Am wanted a new airliner as quickly as possible. This all-new transport had to be far bigger than anything in service or even on anybody's drawing board. To make it fly, Sutter and his team would have to push far beyond the technological boundaries of the late 1960s. Could it be done?Almost everything about the 747 would be unprecedented. Its cabin would be so wide that it would need two aisles. Its horizontal tail would be bigger than the wings of most airliners ever built. Jet engines big enough to lift it off the ground didn't yet exist. Runways at the world's airports couldn't handle it, and neither could Boeing's factories. They had to erect the world's largest building just to produce it. A truly mammoth undertaking, the 747 became one of the most successful airplane models ever.Sutter's vivid narrative takes us back to a time when American technology was cutting-edge -- the 747 came on the market the same year that men first set foot on the moon -- and jet travel was still glamorous and new. With wit and warmth, he gives an insider's sense of the larger-than-life-size personalities -- and the tensions -- in the aeronautical world. Ultimately, 747 is an inspiring story of grit and glory.

    Jon Wertheim to overturn some of the most cherished truisms of sports, and reveal the hidden forces that shape how basketball, baseball, football, and hockey games are played, won and lost.Drawing from Moskowitz's original research, as well as studies from fellow economists such as bestselling author Richard Thaler, the authors look at: the influence home-field advantage has on the outcomes of games in all sports and why it exists; the surprising truth about the universally accepted axiom that defense wins championships;  the subtle biases that umpires exhibit in calling balls and strikes in key situations; the unintended consequences of referees' tendencies in every sport to "swallow the whistle," and more.Among the insights that Scorecasting reveals:Why Tiger Woods is prone to the same mistake in high-pressure putting situations that you and I areWhy professional teams routinely overvalue draft picks The myth of momentum  or the "hot hand" in sports, and why so many fans, coaches, and broadcasters fervently subscribe to itWhy NFL coaches rarely go for a first down on fourth-down situations--even when their reluctance to do so reduces their chances of winning.In an engaging narrative that takes us from the putting greens of Augusta to the grid iron of a small parochial high school in Arkansas, Scorecasting will forever change how you view the game, whatever your favorite sport might be.

    It helps in the process of choosing the right statistical technique and includes a detailed guide to interpreting SPSS ouput.

    The book begins with an introduction to the language of statistics and then covers descriptive statistics and inferential statistics. Throughout, the author offers readers:- Difficulty Rating Index for each chapter′s material- Tips for doing and thinking about a statistical technique- Top tens for everything from the best ways to create a graph to the most effective techniques for data collection- Steps that break techniques down into a clear sequence of procedures- SPSS tips for executing each major statistical technique- Practice exercises at the end of each chapter, followed by worked out solutions.The book concludes with a statistical software sampler and a description of the best Internet sites for statistical information and data resources. Readers also have access to a website for downloading data that they can use to practice additional exercises from the book. Students and researchers will appreciate the book′s unhurried pace and thorough, friendly presentation.

    . ." and "The data bear this out. . . ." But the field of statistics is not just about data. Statistics is the entire process involved in gathering evidence to answer questions about the world, in cases where that evidence happens to be numerical data. Statistics For Dummies is for everyone who wants to sort through and evaluate the incredible amount of statistical information that comes to them on a daily basis. (You know the stuff: charts, graphs, tables, as well as headlines that talk about the results of the latest poll, survey, experiment, or other scientific study.) This book arms you with the ability to decipher and make important decisions about statistical results, being ever aware of the ways in which people can mislead you with statistics. Get the inside scoop on number-crunching nuances, plus insight into how you canDetermine the odds Calculate a standard score Find the margin of error Recognize the impact of polls Establish criteria for a good survey Make informed decisions about experiments This down-to-earth reference is chock-full of real examples from real sources that are relevant to your everyday life: from the latest medical breakthroughs, crime studies, and population trends to surveys on Internet dating, cell phone use, and the worst cars of the millennium. Statistics For Dummies departs from traditional statistics texts, references, supplement books, and study guides in the following ways:Practical and intuitive explanations of statistical concepts, ideas, techniques, formulas, and calculations. Clear and concise step-by-step procedures that intuitively explain how to work through statistics problems. Upfront and honest answers to your questions like, "What does this really mean?" and "When and how I will ever use this?" Chances are, Statistics For Dummies will be your No. 1 resource for discovering how numerical data figures into your corner of the universe.

    Conflict between humans and machines is seen as inevitable and its outcome all too predictable.In this groundbreaking book, distinguished AI researcher Stuart Russell argues that this scenario can be avoided, but only if we rethink AI from the ground up. Russell begins by exploring the idea of intelligence in humans and in machines. He describes the near-term benefits we can expect, from intelligent personal assistants to vastly accelerated scientific research, and outlines the AI breakthroughs that still have to happen before we reach superhuman AI. He also spells out the ways humans are already finding to misuse AI, from lethal autonomous weapons to viral sabotage.If the predicted breakthroughs occur and superhuman AI emerges, we will have created entities far more powerful than ourselves. How can we ensure they never, ever, have power over us? Russell suggests that we can rebuild AI on a new foundation, according to which machines are designed to be inherently uncertain about the human preferences they are required to satisfy. Such machines would be humble, altruistic, and committed to pursue our objectives, not theirs. This new foundation would allow us to create machines that are provably deferential and provably beneficial.In a 2014 editorial co-authored with Stephen Hawking, Russell wrote, "Success in creating AI would be the biggest event in human history. Unfortunately, it might also be the last." Solving the problem of control over AI is not just possible; it is the key that unlocks a future of unlimited promise.

    . . An open-eyed analysis of influential technology companies’ ambitions of interest to investors, tech users, and media consumers." —Library JournalIn Silicon States, renowned futurist and celebrated international think-tank leader Lucie Greene offers an unparalleled look at the players, promises, and potential problems of Big Tech. Through interviews with corporate leaders, influential venture capitalists, scholars, journalists, activists, and more, Greene explores the tension inherent in Silicon Valley’s global influence. If these companies can invent a social network, how might they soon transform our political and health-care systems? If they can revolutionize the cell phone, what might they do for space travel, education, or the housing market? As Silicon Valley faces increased scrutiny over its mistreatment of women, cultural shortcomings, and its role in widespread Russian election interference, we are learning where its interests truly lie, and about the great power these companies wield over an unsuspecting citizenry.While the promise of technology is seductive, it is important to understand these corporations’ possible impacts on our political and socioeconomic institutions. Greene emphasizes that before we hand our future over to a rarefied group of companies, we should examine the world they might build and confront its benefits, prejudices, and inherent flaws. Silicon States pushes us to ask if, ultimately, this is the future we really want.

    And an absolute must for everyone with a learner's permit. Former Top Gear Stig and professional driver Ben Collins shares expert skills culled from a twenty year career as one of the best drivers in the world, famous for racing in the Le Mans series and NASCAR, piloting the Batmobile, and dodging bullets with James Bond. Refined over thousands of hours of elite-level performance in the physics of driving, his philosophy results in greater control and safer, more efficient and fun driving for all skill levels.

    Eric Goodman’s visionary approach to mindful movement corrects the complacent adaptations that lead to back and joint pain, and teaches us to harness the body’s natural movement patterns into daily activities to make us fit, healthy, and pain free.Our sedentary lifestyle has led to an epidemic of chronic pain. By adapting to posture and movement that have us out of balance—including sitting all day at a keyboard, tilting our heads forward to look at our phones—we consistently compromise our joints, give our organs less room to function, and weaken our muscles. How we hold and live in our bodies is fundamental to our overall health, and the good news is that we all hold the key to a healthier body.Dr. Goodman has spent years studying human physiology and movement. He has trained world-class athletes for better performance, and has healed people of all ages and occupations of lifelong debilitating pain. His theory of self-healing is now available to everyone. His practical program trains the posterior muscle chain—shoulders, back, butt, and legs—shifting the burden of support away from joints and putting it back where it belongs: into large muscle groups.Filled with helpful diagrams and sixty color photographs, True to Form shows readers how to successfully integrate these powerful movements into everyday life—from playing with the kids to washing dishes to long hours in the office—transforming ordinary physical actions into active and mindful movements that help to eliminate pain, up your game, or simply feel more energetic. True to Form shows you how to move better, breathe better, and get back to using your body the way nature intended.

    Dr. Doug Erlandson draws on concrete examples of good and bad reasoning from the political and social realm and everyday life to make his points in a sometimes lighthearted but always meaningful way. Here's a Preview of What's in the Book Identifying the differences between good and bad arguments Avoiding fallacies Creating good explanations Assessing probabilities Recognizing that statistics and numbers can lie ˃˃˃ Here's How You Benefit How to Think Clearly gives you the tools you need to critically assess the claims and counterclaims with which you are bombarded by politicians, pundits, commentators and editors, as well as coworkers, friends and family, and will aid you in developing skills to present your view in ways that are clear, coherent, sensible and persuasive. ˃˃˃ Suitable as a classroom text and for independent study How to Think Clearly is easy to understand and suitable for independent study. At the same time it offers the content and intellectual rigor that you would expect in a text for an introductory college-level course in critical thinking. ˃˃˃ What Others Are Saying About How to Think Clearly: A Guide to Critical Thinking Dr. Erlandson has given a wonderful introduction to good critical thinking: how to recognize good and bad arguments, helpful and non-helpful explanations, the ways that numbers can be manipulated. You can tell that he must be a good teacher. (G. Feltner)The author offers a refuge of reason within our culture of disregard for open-mindedness and rational discourse where the popular debate of serious issues or ideas is often a shouting match from the margins. (Cubs Fan)A great read for anyone who is new to logic and critical thinking, or someone who just wants to review and refresh their knowledge. (Paul D.) Scroll up and grab a copy today.

    Pittsburghers joked their town was the city of champions…and the Pirates. Big Data Baseball is the story of how the 2013 Pirates, mired in the longest losing streak in North American pro sports history, adopted drastic big-data strategies to end the drought, make the playoffs, and turn around the franchise's fortunes.Award-winning journalist Travis Sawchik takes you behind the scenes to expertly weave together the stories of the key figures who changed the way the small-market Pirates played the game. For manager Clint Hurdle and the front office staff to save their jobs, they could not rely on a free agent spending spree, instead they had to improve the sum of their parts and find hidden value. They had to change. From Hurdle shedding his old-school ways to work closely with Neal Huntington, the forward-thinking data-driven GM and his team of talented analysts; to pitchers like A. J. Burnett and Gerrit Cole changing what and where they threw; to Russell Martin, the undervalued catcher whose expert use of the nearly-invisible skill of pitch framing helped the team's pitchers turn more balls into strikes; to Clint Barmes, a solid shortstop and one of the early adopters of the unconventional on-field shift which forced the entire infield to realign into positions they never stood in before. Under Hurdle's leadership, a culture of collaboration and creativity flourished as he successfully blended whiz kid analysts with graybeard coaches—a kind of symbiotic teamwork which was unique to the sport.Big Data Baseball is Moneyball on steroids. It is an entertaining and enlightening underdog story that uses the 2013 Pirates season as the perfect lens to examine the sport's burgeoning big-data movement. With the help of data-tracking systems like PitchF/X and TrackMan, the Pirates collected millions of data points on every pitch and ball in play to create a tome of color-coded reports that revealed groundbreaking insights for how to win more games without spending a dime. In the process, they discovered that most batters struggled to hit two-seam fastballs, that an aggressive defensive shift on the field could turn more batted balls into outs, and that a catcher's most valuable skill was hidden. All these data points which aren't immediately visible to players and spectators, are the bit of magic that led the Pirates to spin straw in to gold, finish the 2013 season in second place, end a twenty-year losing streak.

    Along the way we’ll learn how selection bias can explain why your boss doesn’t know he sucks (even when everyone else does); how to use Bayes’ Theorem to decide if your partner is cheating on you; and why Mark Zuckerberg should never be used as an example for anything. See the world in a whole new light, and make better decisions and judgements without ever going near a t-test. Think. Think Statistically.

    By presenting actual experiences and analyzing them as they are described, the author conveys the developmental thought processes employed and shows a style of thinking that leads to successful results is something that can be learned. Along with spectacular successes, the author also conveys how failures contributed to shaping the thought processes. Provides the reader with a style of thinking that will enhance a person's ability to function as a problem-solver of complex technical issues. Consists of a collection of stories about the author's participation in significant discoveries, relating how those discoveries came about and, most importantly, provides analysis about the thought processes and reasoning that took place as the author and his associates progressed through engineering problems.

    Harry Gensler engages students with the basics of logic through practical examples and important arguments both in the history of philosophy and from contemporary philosophy. Using simple and manageable methods for testing arguments, students are led step-by-step to master the complexities of logic.The companion LogiCola instructional program and various teaching aids (including a teacher's manual) are available from the book's website: www.routledge.com/textbooks/gensler_l...

    With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it.Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains:Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm Optimization algorithms that search millions of possible solutions to a problem and choose the best one Bayesian filtering, used in spam filters for classifying documents based on word types and other features Using decision trees not only to make predictions, but to model the way decisions are made Predicting numerical values rather than classifications to build price models Support vector machines to match people in online dating sites Non-negative matrix factorization to find the independent features in a dataset Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details."-- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths."-- Tim Wolters, CTO, Collective Intellect