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.

    This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.You'll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. Along the way, you'll become familiar with distributions, the rules of probability, visualization, and many other tools and concepts.Develop your understanding of probability and statistics by writing and testing codeRun experiments to test statistical behavior, such as generating samples from several distributionsUse simulations to understand concepts that are hard to grasp mathematicallyLearn topics not usually covered in an introductory course, such as Bayesian estimationImport data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics toolsUse statistical inference to answer questions about real-world data

    Today, says Dale Purves, the dominant research agenda may have taken us as far as it can--and neuroscientists may be approaching a paradigm shift. In this highly personal book, Purves reveals how we got to this point and offers his notion of where neuroscience may be headed next. Purves guides you through a half-century of the most influential ideas in neuroscience and introduces the extraordinary scientists and physicians who created and tested them. Purves offers a critical assessment of the paths that neuroscience research has taken, their successes and their limitations, and then introduces an alternative approach for thinking about brains. Building on new research on visual perception, he shows why common ideas about brain networks can't be right and uncovers the factors that determine our subjective experience. The resulting insights offer a deeper understanding of what it means to be human. - Why we need a better conception of what brains are trying to do and how they do it Approaches to understanding the brain over the past several decades may be at an impasse - The surprising lessons that can be learned from what we see How complex neural processes owe more to trial-and-error experience than to logical principles - Brains--and the people who think about them Meet some of the extraordinary individuals who've shaped neuroscience - The -ghost in the machine- problem The ideas presented further undermine the concept of free will

    The author's objective is to offer an understanding of what leads to these moments, be it the excitement of the artist at the easel or the scientist in the lab, so that knowledge can be used to enrich people's lives. Drawing on 100 interviews with exceptional people, from biologists and physicists to politicians and business leaders, poets and artists, as well as his 30 years of research on the subject, Csikszentmihalyi uses his famous theory to explore the creative process. He discusses such ideas as why creative individuals are often seen as selfish and arrogant, and why the tortured genius is largely a myth. Most important, he clearly explains why creativity needs to be cultivated and is necessary for the future of our country, if not the world.

    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

    Advertised only by word of mouth, the book became a favorite training and counseling guide in many institutions -- government, church, business -- and colleges across the nation adopted it as an auxiliary text in a dozen different departments. Why? Perhaps it was the user-friendly way that Please Understand Me helped people find their personality style. Perhaps it was the simple accuracy of Keirsey's portraits of temperament and character types. Or perhaps it was the book's essential message: that members of families and institutions are OK, even though they are fundamentally different from each other, and that they would all do well to appreciate their differences and give up trying to change others into copies of themselves.Now: Please Understand Me IIFor the past twenty years Keirsey has continued to investigate personality differences -- to refine his theory of the four temperaments and to define the facets of character that distinguish one from another. His findings form the basis of Please Understand Me II, an updated and greatly expanded edition of the book, far more comprehensive and coherent than the original, and yet with much of the same easy accessibility. One major addition is Keirsey's view of how the temperaments differ in the intelligent roles they are most likely to develop. Each of us, he says, has four kinds of intelligence -- tactical, logistical, diplomatic, strategic -- though one of the four interests us far more than the others, and thus gets far more practice than the rest. Like four suits in a hand of cards, we each have a long suit and a short suit in what interests us and what we do well, and fortunate indeed are those whose work matches their skills. As in the original book, Please Understand Me II begins with The Keirsey Temperament Sorter, the most used personality inventory in the world. But also included is The Keirsey Four-Types Sorter, a new short questionnaire that identifies one's basic temperament and then ranks one's second, third, and fourth choices. Share this new sorter with friends and family, and get set for a lively and fascinating discussion of personal styles.

    But is it possible America's most troubling impact on the globalizing world has yet to be accounted for? In "Crazy Like Us," Ethan Watters reveals that the most devastating consequence of the spread of American culture has not been our golden arches or our bomb craters but our bulldozing of the human psyche itself: We are in the process of homogenizing the way the world goes mad. America has been the world leader in generating new mental health treatments and modern theories of the human psyche. We export our psychopharmaceuticals packaged with the certainty that our biomedical knowledge will relieve the suffering and stigma of mental illness. We categorize disorders, thereby defining mental illness and health, and then parade these seemingly scientific certainties in front of the world. The blowback from these efforts is just now coming to light: It turns out that we have not only been changing the way the world talks about and treats mental illness -- we have been changing the mental illnesses themselves.For millennia, local beliefs in different cultures have shaped the experience of mental illness into endless varieties." Crazy Like Us" documents how American interventions have discounted and worked to change those indigenous beliefs, often at a dizzying rate. Over the last decades, mental illnesses popularized in America have been spreading across the globe with the speed of contagious diseases. Watters travels from China to Tanzania to bring home the unsettling conclusion that the virus is us: As we introduce Americanized ways of treating mental illnesses, we are in fact spreading the diseases.In post-tsunami Sri Lanka, Watters reports on the Western trauma counselors who, in their rush to help, inadvertently trampled local expressions of grief, suffering, and healing. In Hong Kong, he retraces the last steps of the teenager whose death sparked an epidemic of the American version of anorexia nervosa. Watters reveals the truth about a multi-million-dollar campaign by one of the world's biggest drug companies to change the Japanese experience of depression -- literally marketing the disease along with the drug.But this book is not just about the damage we've caused in faraway places. Looking at our impact on the psyches of people in other cultures is a gut check, a way of forcing ourselves to take a fresh look at our own beliefs about mental health and healing. When we examine our assumptions from a farther shore, we begin to understand how our own culture constantly shapes and sometimes creates the mental illnesses of our time. By setting aside our role as the world's therapist, we may come to accept that we have as much to learn from other cultures' beliefs about the mind as we have to teach.

    It’s about how to do that and still live in this digital world.

    The world around you is pulling your strings, shaping your innermost instincts and your most private thoughts. And you don't even realize it.Every day and in all walks of life, we overlook the enormous power of situations, of context in our lives. That's a mistake, says Sam Sommers in his provocative new book. Just as a museum visitor neglects to notice the frames around paintings, so do people miss the influence of ordinary situations on the way they think and act. But frames- situations- do matter. Your experience viewing the paintings wouldn't be the same without them. The same is true for human nature.In Situations Matter, Sommers argues that by understanding the powerful influence that context has in our lives and using this knowledge to rethink how we see the world, we can be more effective at work, at home, and in daily interactions with others. He describes the pitfalls to avoid and offers insights into making better decisions and smarter observations about the world around us.

    Our eyes play tricks on us; our stories change in the retelling; and most of us are fairly sure we’re way above average. In Why We Make Mistakes, journalist Joseph T. Hallinan sets out to explore the science of human error—how we think, see, remember, and forget, and how this sets us up for wholly irresistible mistakes.In his quest to understand our imperfections, Hallinan delves into psychology, neuroscience, and economics, with forays into aviation, consumer behavior, geography, football, stock picking, and more. He discovers that some of the same qualities that make us efficient also make us error prone. Why We Make Mistakes is enlivened by real-life stories--of weathermen whose predictions are uncannily accurate and a witness who sent an innocent man to jail--and offers valuable advice, such as how to remember where you’ve hidden something important. He explains why multitasking is a bad idea, why men make errors women don’t. This book will open your eyes to the reasons behind your mistakes and have you vowing to do better the next time.

    This guide also helps you understand the many data-mining techniques in use today.Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.Understand how data science fits in your organization—and how you can use it for competitive advantageTreat data as a business asset that requires careful investment if you’re to gain real valueApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate wayLearn general concepts for actually extracting knowledge from dataApply data science principles when interviewing data science job candidates

    In this surreal atmosphere created to disorient us and undermine our sense of truth, we’ve lost not only our grip on peace and democracy — but our very notion of what those words even mean.Peter Pomerantsev takes us to the front lines of the disinformation age, where he meets Twitter revolutionaries and pop-up populists, “behavioral change” salesmen, Jihadi fanboys, Identitarians, truth cops, and many others. Forty years after his dissident parents were pursued by the KGB, Pomerantsev finds the Kremlin re-emerging as a great propaganda power. His research takes him back to Russia — but the answers he finds there are not what he expected.Blending reportage, family history, and intellectual adventure, This Is Not Propaganda explores how we can reimagine our politics and ourselves when reality seems to be coming apart.

    But sometimes the solutions are not as interesting as the beautiful symmetric patterns that lead to them. Written in a friendly style for a general audience, Fearless Symmetry is the first popular math book to discuss these elegant and mysterious patterns and the ingenious techniques mathematicians use to uncover them.Hidden symmetries were first discovered nearly two hundred years ago by French mathematician �variste Galois. They have been used extensively in the oldest and largest branch of mathematics--number theory--for such diverse applications as acoustics, radar, and codes and ciphers. They have also been employed in the study of Fibonacci numbers and to attack well-known problems such as Fermat's Last Theorem, Pythagorean Triples, and the ever-elusive Riemann Hypothesis. Mathematicians are still devising techniques for teasing out these mysterious patterns, and their uses are limited only by the imagination.The first popular book to address representation theory and reciprocity laws, Fearless Symmetry focuses on how mathematicians solve equations and prove theorems. It discusses rules of math and why they are just as important as those in any games one might play. The book starts with basic properties of integers and permutations and reaches current research in number theory. Along the way, it takes delightful historical and philosophical digressions. Required reading for all math buffs, the book will appeal to anyone curious about popular mathematics and its myriad contributions to everyday life.

    In pursuit of these things, it is undeterred by emotion, fear, or morality. Dopamine is the source of our every urge, that little bit of biology that makes an ambitious business professional sacrifice everything in pursuit of success, or that drives a satisfied spouse to risk it all for the thrill of someone new. Simply put, it is why we seek and succeed; it is why we discover and prosper. Yet, at the same time, it’s why we gamble and squander. From dopamine’s point of view, it’s not the having that matters. It’s getting something—anything—that’s new. From this understanding—the difference between possessing something versus anticipating it—we can understand in a revolutionary new way why we behave as we do in love, business, addiction, politics, religion – and we can even predict those behaviors in ourselves and others. In The Molecule of More: How a Single Chemical in Your Brain Drives Love, Sex, and Creativity—and will Determine the Fate of the Human Race, George Washington University professor and psychiatrist Daniel Z. Lieberman, MD, and Georgetown University lecturer Michael E. Long present a potentially life-changing proposal: Much of human life has an unconsidered component that explains an array of behaviors previously thought to be unrelated, including why winners cheat, why geniuses often suffer with mental illness, why nearly all diets fail, and why the brains of liberals and conservatives really are different.

    Perception is the foundation of human experience, but few of us understand why we see what we do, much less how. By revealing the startling truths about the brain and its perceptions, Beau Lotto shows that the next big innovation is not a new technology: it is a new way of seeing. In his first major book, Lotto draws on over two decades of pioneering research to explain that our brain didn't evolve to see the world accurately. It can't! Visually stunning, with entertaining illustrations and optical illusions throughout, and with clear and comprehensive explanations of the science behind how our perceptions operate, Deviate will revolutionize the way you see yourself, others and the world. With this new understanding of how the brain functions, Deviate is not just an illuminating account of the neuroscience of thought, behavior, and creativity: it is a call to action, enlisting readers in their own journey of self-discovery.