The PCs, the i- phones, the i-pods, the tablet PCs all will be a constant reminder of the genuine and witty ways that Steve handled and fondled. He was always lost in a world of his own. He hugged the glory and the downfalls with equal aloofness. Not once were his beliefs shattered. Throughout his life, he struggled and dared to bring his dreams come true. His dreams had a silvery lining of consistency, persuasion and intention. He was unique in every way. The life threatening disease of cancer could not prevent him from working till his last breath, literally. Though stubborn and dominant by nature he stood as a magician in the field of technology. Here is a simple gesture to pay him respect and honour. A magnificent journey presented authentically.

    Politicians and marketers present shoddy evidence for dubious claims all the time. But smart people make mistakes too, and when it comes to statistics, plenty of otherwise great scientists--yes, even those published in peer-reviewed journals--are doing statistics wrong."Statistics Done Wrong" comes to the rescue with cautionary tales of all-too-common statistical fallacies. It'll help you see where and why researchers often go wrong and teach you the best practices for avoiding their mistakes.In this book, you'll learn: - Why "statistically significant" doesn't necessarily imply practical significance- Ideas behind hypothesis testing and regression analysis, and common misinterpretations of those ideas- How and how not to ask questions, design experiments, and work with data- Why many studies have too little data to detect what they're looking for-and, surprisingly, why this means published results are often overestimates- Why false positives are much more common than "significant at the 5% level" would suggestBy walking through colorful examples of statistics gone awry, the book offers approachable lessons on proper methodology, and each chapter ends with pro tips for practicing scientists and statisticians. No matter what your level of experience, "Statistics Done Wrong" will teach you how to be a better analyst, data scientist, or researcher.

    We are bombarded with more information each day than our brains can process—especially in election season. It's raining bad data, half-truths, and even outright lies. New York Times bestselling author Daniel J. Levitin shows how to recognize misleading announcements, statistics, graphs, and written reports revealing the ways lying weasels can use them. It's becoming harder to separate the wheat from the digital chaff. How do we distinguish misinformation, pseudo-facts, distortions, and outright lies from reliable information? Levitin groups his field guide into two categories—statistical infomation and faulty arguments—ultimately showing how science is the bedrock of critical thinking. Infoliteracy means understanding that there are hierarchies of source quality and bias that variously distort our information feeds via every media channel, including social media. We may expect newspapers, bloggers, the government, and Wikipedia to be factually and logically correct, but they so often aren't. We need to think critically about the words and numbers we encounter if we want to be successful at work, at play, and in making the most of our lives. This means checking the plausibility and reasoning—not passively accepting information, repeating it, and making decisions based on it. Readers learn to avoid the extremes of passive gullibility and cynical rejection. Levitin's charming, entertaining, accessible guide can help anyone wake up to a whole lot of things that aren't so. And catch some lying weasels in their tracks!

    Basketball on Paper doesn’t diagram plays or explain how players get in shape, but instead demonstrates how to interpret player and team performance. Dean Oliver highlights general strategies for teams when they’re winning or losing and what aspects should be the focus in either situation. He describes and quantifies the jobs of team leaders and role players, then discusses the interactions between players and how to achieve the best fit. Oliver conceptualizes the meaning of teamwork and how to quantify the value of different types of players working together. He examines historically successful NBA teams and identifies what made them so successful: individual talent, a system of putting players together, or good coaching. Oliver then uses these statistical tools and case studies to evaluate the best players in history, such as Magic Johnson, Wilt Chamberlain, Bill Russell, and Charles Barkley and how they contributed to their teams’ success. He does the same for some of the NBA’s "oddball" players-Manute Bol, Muggsy Bogues, and Dennis Rodman and for the WNBA’s top players. Basketball on Paper is unique in its incorporation of business and analytical concepts within the context of basketball to measure the value of players in a cooperative setting. Whether you’re looking for strategies or new ideas to throw out while watching the ballgame at a sports bar, Dean Oliver’sBasketball on Paper will give you amazing new insights into teamwork, coaching, and success.

    But the truth is far more sinister, says Austin Ruse. We're actually living in the age of the low information voter, easily mislead by all-too-convincing false statistics and studies. In Fact-Shaming, Ruse debunks so-called "facts" used to advance political causes one after the other, revealing how poorly they stand up to actual science.

    In Power to the Public, Tara Dawson McGuinness and Hana Schank describe a revolutionary new approach--public interest technology--that has the potential to transform the way governments and nonprofits around the world solve problems. Through inspiring stories about successful projects ranging from a texting service for teenagers in crisis to a streamlined foster care system, the authors show how public interest technology can make the delivery of services to the public more effective and efficient.At its heart, public interest technology means putting users at the center of the policymaking process, using data and metrics in a smart way, and running small experiments and pilot programs before scaling up. And while this approach may well involve the innovative use of digital technology, technology alone is no panacea--and some of the best solutions may even be decidedly low-tech.Clear-eyed yet profoundly optimistic, Power to the Public presents a powerful blueprint for how government and nonprofits can help solve society's most serious problems.

    But have we unwittingly handed too much away to shadowy powers behind a wall of code, all manipulated by a handful of Silicon Valley utopians, ad men, and venture capitalists? And, in light of recent data breach scandals around companies like Facebook and Cambridge Analytica, what does that mean for democracy, our delicately balanced system of government that was created long before big data, total information and artificial intelligence? In this urgent polemic, Jamie Bartlett argues that through our unquestioning embrace of big tech, the building blocks of democracy are slowly being removed. The middle class is being eroded, sovereign authority and civil society is weakened, and we citizens are losing our critical faculties, maybe even our free will.The People Vs Tech is an enthralling account of how our fragile political system is being threatened by the digital revolution. Bartlett explains that by upholding six key pillars of democracy, we can save it before it is too late. We need to become active citizens; uphold a shared democratic culture; protect free elections; promote equality; safeguard competitive and civic freedoms; and trust in a sovereign authority. This essential book shows that the stakes couldn’t be higher and that, unless we radically alter our course, democracy will join feudalism, supreme monarchies and communism as just another political experiment that quietly disappeared.

    Progressive Insurance tracks real-time customer driving patterns and uses that information to offer rates truly commensurate with individual safety. Google accurately predicts local flu outbreaks based upon thousands of user search queries. Amazon provides remarkably insightful, relevant, and timely product recommendations to its hundreds of millions of customers. Quantcast lets companies target precise audiences and key demographics throughout the Web. NASA runs contests via gamification site TopCoder, awarding prizes to those with the most innovative and cost-effective solutions to its problems. Explorys offers penetrating and previously unknown insights into healthcare behavior.How do these organizations and municipalities do it? Technology is certainly a big part, but in each case the answer lies deeper than that. Individuals at these organizations have realized that they don't have to be Nate Silver to reap massive benefits from today's new and emerging types of data. And each of these organizations has embraced Big Data, allowing them to make astute and otherwise impossible observations, actions, and predictions.It's time to start thinking big.In Too Big to Ignore, recognized technology expert and award-winning author Phil Simon explores an unassailably important trend: Big Data, the massive amounts, new types, and multifaceted sources of information streaming at us faster than ever. Never before have we seen data with the volume, velocity, and variety of today. Big Data is no temporary blip of fad. In fact, it is only going to intensify in the coming years, and its ramifications for the future of business are impossible to overstate.Too Big to Ignore explains why Big Data is a big deal. Simon provides commonsense, jargon-free advice for people and organizations looking to understand and leverage Big Data. Rife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, the book is required reading for chief executives, company owners, industry leaders, and business professionals.

    The better news is that IQ: A Smart History of a Failed Idea is compelling from its first pages, and by its conclusion, Murdoch has deftly demonstrated that in our zeal to quantify intelligence, we have needlessly scarred—if not destroyed—the lives of millions of people who did not need an IQ score to prove their worth in the world. IQ is first-rate narrative journalism, a book that I hope leads to necessary change."—Russell Martin, author of Beethoven's Hair, Picasso's War, and Out of Silence"With fast-paced storytelling, freelance journalist Murdoch traces now ubiquitous but still controversial attempts to measure intelligence to its origins in the late nineteenth and early twentieth centuries. . . . Murdoch concludes that IQ testing provides neither a reliable nor a helpful tool in understanding people's behavior, nor can it predict their future success or failure. . . . A thoughtful overview and a welcome reminder of the dangers of relying on such standardized tests."—Publishers Weekly"Stephen Murdoch delivers a lucid and engaging chronicle of the ubiquitous and sometimes insidious use of IQ tests. This is a fresh look at a century-old and still controversial idea—that our human potential can be distilled down to a single test score. Murdoch's compelling account demands a reexamination of our mania for mental measurement."—Paul A. Lombardo, author of Three Generations, No Imbeciles: Eugenics, the Supreme Court & Buck v. Bell

    In The Master Algorithm, Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible.

    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.

    The controversial book linking intelligence to class and race in modern society, and what public policy can do to mitigate socioeconomic differences in IQ, birth rate, crime, fertility, welfare, and poverty.

    This social transformation didn't happen by accident. We’ve built a country where we can all choose the neighborhood -- and religion and news show -- most compatible with our lifestyle and beliefs. And we are living with the consequences of this way-of-life segregation. Our country has become so polarized, so ideologically inbred, that people don’t know and can’t understand those who live just a few miles away. The reason for this situation, and the dire implications for our country, is the subject of this groundbreaking work.In 2004, the journalist Bill Bishop, armed with original and startling demographic data, made national news in a series of articles showing how Americans have been sorting themselves over the past three decades into alarmingly homogeneous communities -- not by region or by red state or blue state, but by city and even neighborhood. In The Big Sort, Bishop deepens his analysis in a brilliantly reported book that makes its case from the ground up, starting with stories about how we live today and then drawing on history, economics, and our changing political landscape to create one of the most compelling big-picture accounts of America in recent memory.The Big Sort will draw comparisons to Robert Putnam's Bowling Alone and Richard Florida's The Rise of the Creative Class and will redefine the way Americans think about themselves for decades to come.

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    This concern threw into relief the prevailing notion that—such unusually competitive cases notwithstanding—people, rather than parties, should and do control presidential nominations. But for the past several decades, The Party Decides shows, unelected insiders in both major parties have effectively selected candidates long before citizens reached the ballot box.Tracing the evolution of presidential nominations since the 1790s, this volume demonstrates how party insiders have sought since America’s founding to control nominations as a means of getting what they want from government. Contrary to the common view that the party reforms of the 1970s gave voters more power, the authors contend that the most consequential contests remain the candidates’ fights for prominent endorsements and the support of various interest groups and state party leaders. These invisible primaries produce frontrunners long before most voters start paying attention, profoundly influencing final election outcomes and investing parties with far more nominating power than is generally recognized.