His baffling tricks and stunning illusions have set new standards of what's possible, as well as causing controversy. Now, for the first time, he reveals the secrets behind his craft.He delves into the structure and pyschology of magic. He tells you how to read clues in people's behaviour and spot liars. He discusses the whys and wherefores of hypnosis (which he says doesn't exist) and shows how to use the powers of suggestion and massively improve the power of your memory. He also investigates the paranormal industry, exposes a few charlatans and looks at why some of us feel the need to believe in it in the first place... Woven into this are autobiographical stories about Derren's own experiences and beliefs, told with characteristic humour and engaging honesty. This extraordinary book lifts the lid on the deepest darkest secrets of magic and explores the limits of what can be achieved by the human mind. A must for Derren's legions of fans, it will amaze you, entertain you and expand your mind at the same time...

    Free of review and ramp-up material, Statistics Essentials For Dummies sticks to the point, with content focused on key course topics only. It provides discrete explanations of essential concepts taught in a typical first semester college-level statistics course, from odds and error margins to confidence intervals and conclusions. This guide is also a perfect reference for parents who need to review critical statistics concepts as they help high school students with homework assignments, as well as for adult learners headed back into the classroom who just need a refresher of the core concepts. The Essentials For Dummies Series Dummies is proud to present our new series, The Essentials For Dummies. Now students who are prepping for exams, preparing to study new material, or who just need a refresher can have a concise, easy-to-understand review guide that covers an entire course by concentrating solely on the most important concepts. From algebra and chemistry to grammar and Spanish, our expert authors focus on the skills students most need to succeed in a subject.

    For more than two centuries, our understanding of the laws of nature expanded rapidly. But today, despite our best efforts, we know nothing more about these laws than we knew in the 1970s. Why is physics suddenly in trouble? And what can we do about it?One of the major problems, according to Smolin, is string theory: an ambitious attempt to formulate a “theory of everything” that explains all the particles and forces of nature and how the universe came to be. With its exotic new particles and parallel universes, string theory has captured the public’s imagination and seduced many physicists.But as Smolin reveals, there’s a deep flaw in the theory: no part of it has been tested, and no one knows how to test it. In fact, the theory appears to come in an infinite number of versions, meaning that no experiment will ever be able to prove it false. As a scientific theory, it fails. And because it has soaked up the lion’s share of funding, attracted some of the best minds, and effectively penalized young physicists for pursuing other avenues, it is dragging the rest of physics down with it.With clarity, passion, and authority, Smolin charts the rise and fall of string theory and takes a fascinating look at what will replace it. A group of young theorists has begun to develop exciting ideas that, unlike string theory, are testable. Smolin not only tells us who and what to watch for in the coming years, he offers novel solutions for seeking out and nurturing the best new talent—giving us a chance, at long last, of finding the next Einstein.

    Although valuable, the risk is that we ignore variations and end up with a skewed view of reality. In evolutionary terms, the result is a view in which humans are the inevitable pinnacle of evolutionary progress, instead of, as Stephen Jay Gould patiently argues, "a cosmic accident that would never arise again if the tree of life could be replanted." The implications of Gould's argument may threaten certain of our philosophical and religious foundations but will in the end provide us with a clearer view of, and a greater appreciation for, the complexities of our world.

    Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.Each chapter will cover a different technique in a spreadsheet so you can follow along: - Mathematical optimization, including non-linear programming and genetic algorithms- Clustering via k-means, spherical k-means, and graph modularity- Data mining in graphs, such as outlier detection- Supervised AI through logistic regression, ensemble models, and bag-of-words models- Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation- Moving from spreadsheets into the R programming languageYou get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.

    Rare are the football innovations that have occurred without an owner, general manager, coach, or player up against the wall and reaching for a way to succeed anyway. In this meticulously researched, lively book, Bleacher Report lead NFL scout Doug Farrar traces the schematic history of the pro game through these “if this/then that” moments—paradigm shifts in the game from 1920 through the present. More than just a book about schemes and strategies, The Genius of Desperation: The Schematic Innovations that Made the Modern NFL also tells the stories of the game’s most prominent innovators, the adversities they endured, and the ways in which they learned to exceed their own expectations on the path to true greatness. Everyone from George Halas to Greasy Neale, Paul Brown to Sid Gillman, Bill Walsh to Chip Kelly is featured, as well as many more.

    But the story of how it came to be goes far beyond baseball. The hills that cradle the stadium were once home to three vibrant Mexican American communities. In the early 1950s, those communities were condemned to make way for a utopian public housing project. Then, in a remarkable turn, public housing in the city was defeated amidst a Red Scare conspiracy.Instead of getting their homes back, the remaining residents saw the city sell their land to Walter O'Malley, the owner of the Brooklyn Dodgers. Now LA would be getting a different sort of utopian fantasy -- a glittering, ultra-modern stadium.But before Dodger Stadium could be built, the city would have to face down the neighborhood's families -- including one, the Aréchigas, who refused to yield their home. The ensuing confrontation captivated the nation - and the divisive outcome still echoes through Los Angeles today.

    Easy-to-find answers to the most common (and obscure but fascinating) baseball questions." - USA Today"A great starting point for newbies of the game." - Ron Kaplan, "501 Baseball Books Fans Must Read Before They Die""Surprisingly, there is no other book so comprehensive, concise or readable." - St. Paul Pioneer-Press"Instructive and fun." - Chicago Sun-Times**Selected for the Baseball Hall of Fame Bookstore in Cooperstown**Lose yourself in all the marvelous memories and hallowed history of America’s national pastime with "The Book of Baseball Literacy: 3rd Edition." From the gloveless pioneers of the 1840s to the strife-ridden headlines of the 2000s, this comprehensive reference offers nearly 700 important baseball yarns, stats, and stories—cross-referenced and hyperlinked—in a style as lively as the game itself. Incredibly thorough, never dull, the book answers these and countless other questions:- Who was Ray Chapman, and why is he important?- Did Abner Doubleday really invent baseball?- What is sabermetrics?- Who set off the Pine Tar Incident?- Where was the first organized baseball game?- Were the Cubs cursed by a billy goat?- What are waivers and options?Written by SABR member and former college baseball broadcaster David H. Martinez and even selected as required reading for a college course on baseball history, "The Book of Baseball Literacy: 3rd Edition" puts over a century and a half of legends and lore, right in your mitt. It will settle arguments and provoke them, answer questions and ask them. It’s a must for veteran baseball fans—and a perfect way to get up to speed on baseball history for newcomers.

    In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases

    Dozens of examples in innumeracy show us how it affects not only personal economics and travel plans, but explains mis-chosen mates, inappropriate drug-testing, and the allure of pseudo-science.

    The nature of football continually changes, which means its analysis must also keep pace. This book is for students, thinkers, and theorists of the game.'Ted Hopkins - Carlton premiership player, author, and co-founder of Champion Data. Australian Rules football has been described as the most data-rich sport on Earth. Every time and everywhere an AFL side takes to the field, it is shadowed by an army of statisticians and number crunchers. The information they gather has become the sport's new language and currency. ABC journalist James Coventry, author of the acclaimed Time and Space, has joined forces with a group of razor-sharp analysts to decipher the data, and to use it to question some of football's long-held truisms. Do umpires really favour the home side? Has goal kicking accuracy deteriorated? Is Geelong the true master of the draft? Are blonds unfairly favoured in Brownlow medal voting? And are Victorians the most passionate fans? Through a blend of entertaining storytelling and expert analysis, this book will answer more questions about footy than you ever thought to ask. Praise for Time and Space:'Brilliant, masterful' - The Guardian'Arguably one of the most important books yet written on Australian Rules football.' - Inside History'Should find its way into the hands of every coach.' - AFL Record

    What truly governs the Major League game is a set of unwritten rules, some of which are openly discussed (don't steal a base with a big lead late in the game), and some of which only a minority of players are even aware of (don't cross between the catcher and the pitcher on the way to the batter's box). In "The Baseball Codes," old-timers and all-time greats share their insights into the game's most hallowed--and least known--traditions. For the learned and the casual baseball fan alike, the result is illuminating and thoroughly entertaining. At the heart of this book are incredible and often hilarious stories involving national heroes (like Mickey Mantle and Willie Mays) and notorious headhunters (like Bob Gibson and Don Drysdale) in a century-long series of confrontations over respect, honor, and the soul of the game. With "The Baseball Codes," we see for the first time the game as it's actually played, through the eyes of the players on the field. With rollicking stories from the past and new perspectives on baseball's informal rulebook, "The Baseball Codes" is a must for every fan.

    The way a teaching machine works is: It asks you a question. If you give the right answer, it goes on to the next question. If you give the wrong answer, it tells you why the answer is wrong and tells you to go back and try again. This is called "programmed learning". The real authors were experts and authorities in the field of programmed learning. Bobby Fischer lent his name to the project. Stuart Margulies is a chess master and also a recognized authority on programmed learning. He is a widely published author of more than 40 books, all in the field of programmed learning, especially in learning how to read. For example, one of his books is "Critical reading for proficiency 1 : introductory level". Donn Mosenfelder is not a known or recognized chess player, but he was the owner of the company that developed and designed this book. He has written more than 25 books, almost all on basic reading, writing and math.

    The author of "Beyond the Shadow of the Senators" explores the life of all-star center fielder Curt Flood and the landmark Supreme Court case that changed professional sports forever.

    If your job requires you to manage and analyze all kinds of data, turn to Head First Data Analysis, where you'll quickly learn how to collect and organize data, sort the distractions from the truth, find meaningful patterns, draw conclusions, predict the future, and present your findings to others. Whether you're a product developer researching the market viability of a new product or service, a marketing manager gauging or predicting the effectiveness of a campaign, a salesperson who needs data to support product presentations, or a lone entrepreneur responsible for all of these data-intensive functions and more, the unique approach in Head First Data Analysis is by far the most efficient way to learn what you need to know to convert raw data into a vital business tool. You'll learn how to:Determine which data sources to use for collecting information Assess data quality and distinguish signal from noise Build basic data models to illuminate patterns, and assimilate new information into the models Cope with ambiguous information Design experiments to test hypotheses and draw conclusions Use segmentation to organize your data within discrete market groups Visualize data distributions to reveal new relationships and persuade others Predict the future with sampling and probability models Clean your data to make it useful Communicate the results of your analysis to your audience Using the latest research in cognitive science and learning theory to craft a multi-sensory learning experience, Head First Data Analysis uses a visually rich format designed for the way your brain works, not a text-heavy approach that puts you to sleep.