At a summer tea party in Cambridge, England, a guest states that tea poured into milk tastes different from milk poured into tea. Her notion is shouted down by the scientific minds of the group. But one man, Ronald Fisher, proposes to scientifically test the hypothesis. There is no better person to conduct such an experiment, for Fisher is a pioneer in the field of statistics.The Lady Tasting Tea spotlights not only Fisher's theories but also the revolutionary ideas of dozens of men and women which affect our modern everyday lives. Writing with verve and wit, David Salsburg traces breakthroughs ranging from the rise and fall of Karl Pearson's theories to the methods of quality control that rebuilt postwar Japan's economy, including a pivotal early study on the capacity of a small beer cask at the Guinness brewing factory. Brimming with intriguing tidbits and colorful characters, The Lady Tasting Tea salutes the spirit of those who dared to look at the world in a new way.

    This is the most important book ever written about one of the most significant aspects of our lives--the consequences of our addiction to online technology and how we can liberate ourselves and our children from it."--Dean Ornish, M.D. Founder & President, Preventive Medicine Research Institute, Clinical Professor of Medicine, UCSF, Author, The SpectrumTechnology: your master, or your friend? Do you feel ruled by your smartphone and enslaved by your e-mail or social-network activities? Digital technology is making us miserable, say bestselling authors and former tech executives Vivek Wadhwa and Alex Salkever. We've become a tribe of tech addicts--and it's not entirely our fault.Taking advantage of vulnerabilities in human brain function, tech companies entice us to overdose on technology interaction. This damages our lives, work, families, and friendships. Swipe-driven dating apps train us to evaluate people like products, diminishing our relationships. At work, we e-mail on average 77 times a day, ruining our concentration. At home, light from our screens is contributing to epidemic sleep deprivation.But we can reclaim our lives without dismissing technology. The authors explain how to avoid getting hooked on tech and how to define and control the roles that tech is playing and could play in our lives. And they provide a guide to technological and personal tools for regaining control. This readable book turns personal observation into a handy action guide to adapting to our new reality of omnipresent technology.

    In The Invisible Gorilla, Christopher Chabris and Daniel Simons, creators of one of psychology’s most famous experiments, use remarkable stories and counterintuitive scientific findings to demonstrate an important truth: Our minds don’t work the way we think they do. We think we see ourselves and the world as they really are, but we’re actually missing a whole lot.Again and again, we think we experience and understand the world as it is, but our thoughts are beset by everyday illusions. We write traffic laws and build criminal cases on the assumption that people will notice when something unusual happens right in front of them. We’re sure we know where we were on 9/11, falsely believing that vivid memories are seared into our minds with perfect fidelity. And as a society, we spend billions on devices to train our brains because we’re continually tempted by the lure of quick fixes and effortless self-improvement.  The Invisible Gorilla reveals the myriad ways that our intuitions can deceive us, but it’s much more than a catalog of human failings. Chabris and Simons explain why we succumb to these everyday illusions and what we can do to inoculate ourselves against their effects. Ultimately, the book provides a kind of x-ray vision into our own minds, making it possible to pierce the veil of illusions that clouds our thoughts and to think clearly for perhaps the first time.

    From Washington to Wall Street, the classroom to the workplace, unethical behavior is everywhere. None of us is immune, whether it's the white lie to head off trouble or padding our expense reports. In The (Honest) Truth About Dishonesty, award-winning, bestselling author Dan Ariely turns his unique insight and innovative research to the question of dishonesty.Generally, we assume that cheating, like most other decisions, is based on a rational cost-benefit analysis. But Ariely argues, and then demonstrates, that it's actually the irrational forces that we don't take into account that often determine whether we behave ethically or not. For every Enron or political bribe, there are countless puffed résumés, hidden commissions, and knockoff purses. In The (Honest) Truth About Dishonesty, Ariely shows why some things are easier to lie about; how getting caught matters less than we think; and how business practices pave the way for unethical behavior, both intentionally and unintentionally. Ariely explores how unethical behavior works in the personal, professional, and political worlds, and how it affects all of us, even as we think of ourselves as having high moral standards.But all is not lost. Ariely also identifies what keeps us honest, pointing the way for achieving higher ethics in our everyday lives. With compelling personal and academic findings, The (Honest) Truth About Dishonesty will change the way we see ourselves, our actions, and others.

    Its techniques are widely applied in engineering, science, finance, and commerce. This book is designed for a short course on machine learning. It is a short course, not a hurried course. From over a decade of teaching this material, we have distilled what we believe to be the core topics that every student of the subject should know. We chose the title `learning from data' that faithfully describes what the subject is about, and made it a point to cover the topics in a story-like fashion. Our hope is that the reader can learn all the fundamentals of the subject by reading the book cover to cover. ---- Learning from data has distinct theoretical and practical tracks. In this book, we balance the theoretical and the practical, the mathematical and the heuristic. Our criterion for inclusion is relevance. Theory that establishes the conceptual framework for learning is included, and so are heuristics that impact the performance of real learning systems. ---- Learning from data is a very dynamic field. Some of the hot techniques and theories at times become just fads, and others gain traction and become part of the field. What we have emphasized in this book are the necessary fundamentals that give any student of learning from data a solid foundation, and enable him or her to venture out and explore further techniques and theories, or perhaps to contribute their own. ---- The authors are professors at California Institute of Technology (Caltech), Rensselaer Polytechnic Institute (RPI), and National Taiwan University (NTU), where this book is the main text for their popular courses on machine learning. The authors also consult extensively with financial and commercial companies on machine learning applications, and have led winning teams in machine learning competitions.

    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 framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality.Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data. For each class of models, the text describes the three fundamental cornerstones: representation, inference, and learning, presenting both basic concepts and advanced techniques. Finally, the book considers the use of the proposed framework for causal reasoning and decision making under uncertainty. The main text in each chapter provides the detailed technical development of the key ideas. Most chapters also include boxes with additional material: skill boxes, which describe techniques; case study boxes, which discuss empirical cases related to the approach described in the text, including applications in computer vision, robotics, natural language understanding, and computational biology; and concept boxes, which present significant concepts drawn from the material in the chapter. Instructors (and readers) can group chapters in various combinations, from core topics to more technically advanced material, to suit their particular needs.

    The Other Brain is the story of glia, which make up approximately 85 percent of the cells in the brain. Long neglected as little more than cerebral packing material ("glia" means glue), glia are sparking a revolution in brain science.Glia are completely different from neurons, the brain cells that we are familiar with. Scientists are discovering that glia have their own communication network, which operates in parallel to the more familiar communication among neurons. Glia provide the insulation for the neurons, and glia even regulate the flow of information between neurons.But it is the potential breakthroughs for medical science that are the most exciting frontier in glia research today. Diseases such as brain cancer and multiple sclerosis are caused by diseased glia. Glia are now believed to play an important role in such psychiatric illnesses as schizophrenia and depression, and in neurodegenerative diseases such as Parkinson's and Alzheimer's. They are linked to infectious diseases such as HIV and prion disease (mad cow disease, for example) and to chronic pain. Scientists have discovered that glia repair the brain and spinal cord after injury and stroke. The more we learn about these cells that make up the "other" brain, the more important they seem to be.Written by a neuroscientist who is a leader in the research to reveal the secrets of these brain cells, The Other Brain offers a firsthand account of science in action. It takes us into the laboratories where important discoveries are being made, and it explains how scientists are learning that glial cells come in different types, with different capabilities. It tells the story of glia research from its origins to the most recent discoveries and gives readers a much more complete understanding of how the brain works and where the next breakthroughs in brain science and medicine are likely to come.

    Apparently, they are the unequivocal source of many societal ills. But what does science actually have to say about the effects that playing them can have on us?In Lost in a Good Game, psychologist Pete Echells takes us on a journey through that scientific data and research, as well as his own past experiences with video games, which helped him cope in the aftermath of a tragedy.His story reveals that, really, our worries are unfounded - and that in playing, studying and living through them we can understand what it means to be human.

    A malicious online rumor costs a company millions. A political sideshow derails the national news cycle and destroys a candidate. Some product or celebrity zooms from total obscurity to viral sensation. What you don't know is that someone is responsible for all this. Usually, someone like me.I'm a media manipulator. In a world where blogs control and distort the news, my job is to control blogs--as much as any one person can. In today's culture... 1) Blogs like "Gawker," "Buzzfeed" and the "Huffington Post" drive the media agenda. 2) Bloggers are slaves to money, technology, and deadlines. 3) Manipulators wield these levers to shape everything you read, see and watch--online and off.Why am I giving away these secrets? Because I'm tired of a world where blogs take indirect bribes, marketers help write the news, reckless journalists spread lies, and no one is accountable for any of it. I'm pulling back the curtain because I don't want anyone else to get blindsided. I'm going to explain exactly how the media "really" works. What you choose to do with this information is up to you.

    He had mentored many tech leaders in his illustrious career as an investor, but few things had made him prouder, or been better for his fund's bottom line, than his early service to Mark Zuckerberg. Still a large shareholder in Facebook, he had every good reason to stay on the bright side. Until he simply couldn't. ZUCKED is McNamee's intimate reckoning with the catastrophic failure of the head of one of the world's most powerful companies to face up to the damage he is doing. It's a story that begins with a series of rude awakenings. First there is the author's dawning realization that the platform is being manipulated by some very bad actors. Then there is the even more unsettling realization that Zuckerberg and Sheryl Sandberg are unable or unwilling to share his concerns, polite as they may be to his face."

    If we don't candidly answer the pertinent questions, we will only paint a false picture.We are standing at a crucial and pivotal point in history. It's time for diversity in AI. This unprecedented technology will affect society as a whole and we need individuals from diverse disciplines and backgrounds to join the discussion. The issues surrounding AI can't be left to a small group of scientists, technologists or business executives to address. Our future and our children's future are at stake.More than ever, we need leaders who will stand on integrity and who will put people first.Do you want to take a glimpse into the future of leadership? The Future of Leadership: Rise of Automation, Robotics and Artificial Intelligence offers the most comprehensive view of what is taking place in the world of AI and emerging technologies, and gives valuable insights that will allow you to successfully navigate the tsunami of technology that is coming our way.

     For his groundbreaking sexual research, Alfred Kinsey and his team interviewed 18,000 people, relying on them to honestly report their most intimate experiences. Using the Internet, the neuroscientists Ogas and Gaddam quietly observed the raw sexual behaviors of half a billion people. By combining their observations with neuroscience and animal research, these two young neuroscientists finally answer the long-disputed question: what do people really like? Ogas and Gaddam's findings are transforming the way scientists and therapists think about sexual desire. In their startling book, Ogas and Gaddam analyze a "billion wicked thoughts" on the Internet: a billion Web searches, a million individual search histories, a million erotic stories, a half-million erotic videos, a million Web sites, millions of online personal ads, and many other enormous sources of sexual data in order to understand the true differences between male and female desires, including: ?Men and women have hardwired sexual cues analogous to our hardwired tastes-there are sexual versions of sweet, sour, salty, savory, and bitter. But men and women are wired with different sets of cues. ?The male sexual brain resembles a reckless hunter, while the female sexual brain resembles a cautious detective agency. ?Men form their sexual interests during adolescence and rarely change. Women's sexual interests are plastic and change frequently. ?The male sexual brain is an "or gate": A single stimulus can arouse it. The female sexual brain is an "and gate": It requires many simultaneous stimuli to arouse it. ?When it comes to sexual arousal, men prefer overweight women to underweight women, and a significant number of men seek out erotic images of women in their 40s, 50s, and 60s. ?Women enjoy writing and sharing erotic stories with other women. The fastest growing genre of erotic stories for women are stories about two heterosexual men having sex. ?Though the male sexual brain is much more different from the female sexual brain than is commonly believed, the sexual brain of gay men is virtually identical to that of straight men. Featuring cutting-edge, jaw-dropping science, this wildly entertaining and controversial book helps readers understand their partner's sexual desires with a depth of knowledge unavailable from any other source. Its fascinating and occasionally disturbing findings will rock our modern understanding of sexuality, just as Kinsey's reports did sixty years ago.

    His groundbreaking revelations shed light not just on business but on the way every human being acts and lives around the world. Rapaille’s breakthrough notion is that we acquire a silent system of Codes as we grow up within our culture. These Codes—the Culture Code—are what make us American, or German, or French, and they invisibly shape how we behave in our personal lives, even when we are completely unaware of our motives. What’s more, we can learn to crack the Codes that guide our actions and achieve new understanding of why we do the things we do. Rapaille has used the Culture Code to help Chrysler build the PT Cruiser—the most successful American car launch in recent memory. He has used it to help Procter & Gamble design its advertising campaign for Folger’s coffee – one of the longest-lasting and most successful campaigns in the annals of advertising. He has used it to help companies as diverse as GE, AT&T, Boeing, Honda, Kellogg, and L’Oréal improve their bottom line at home and overseas. And now, in The Culture Code, he uses it to reveal why Americans act distinctly like Americans, and what makes us different from the world around us. In The Culture Code, Dr. Rapaille decodes two dozen of our most fundamental archetypes—ranging from sex to money to health to America itself—to give us “a new set of glasses” with which to view our actions and motivations. Why are we so often disillusioned by love? Why is fat a solution rather than a problem? Why do we reject the notion of perfection? Why is fast food in our lives to stay? The answers are in the Codes. Understanding the Codes gives us unprecedented freedom over our lives. It lets us do business in dramatically new ways. And it finally explains why people around the world really are different, and reveals the hidden clues to understanding us all.

    Written from a computer science perspective by three leading experts in the field, it gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Although originally designed as the primary text for a graduate or advanced undergraduate course in information retrieval, the book will also create a buzz for researchers and professionals alike.