What drives the drug trade, and how has it come to be what it is today? A global history of the acquisition of progressively more potent means of altering ordinary waking consciousness, this book is the first to provide the big picture of the discovery, interchange, and exploitation of the planet's psychoactive resources, from tea and kola to opiates and amphetamines.

    But as anyone who has ever opened up a spreadsheet packed with seemingly infinite lines of data knows, numbers aren't enough: we need to know how to make those numbers talk. In The Model Thinker, social scientist Scott E. Page shows us the mathematical, statistical, and computational models—from linear regression to random walks and far beyond—that can turn anyone into a genius. At the core of the book is Page's "many-model paradigm," which shows the reader how to apply multiple models to organize the data, leading to wiser choices, more accurate predictions, and more robust designs. The Model Thinker provides a toolkit for business people, students, scientists, pollsters, and bloggers to make them better, clearer thinkers, able to leverage data and information to their advantage.

    But for some reason they choose to ignore those guidelines and churn out turgid, pompous, and obscure prose. Distinguished sociologist Howard S. Becker, true to his calling, looks for an explanation for this bizarre behavior not in the psyches of his colleagues but in the structure of his profession. In this highly personal and inspirational volume he considers academic writing as a social activity.Both the means and the reasons for writing a thesis or article or book are socially structured by the organization of graduate study, the requirements for publication, and the conditions for promotion, and the pressures arising from these situations create the writing style so often lampooned and lamented. Drawing on his thirty-five years' experience as a researcher, writer, and teacher, Becker exposes the foibles of the academic profession to the light of sociological analysis and gentle humor. He also offers eminently useful suggestions for ways to make social scientists better and more productive writers. Among the topics discussed are how to overcome the paralyzing fears of chaos and ridicule that lead to writer's block; how to rewrite and revise, again and again; how to adopt a persona compatible with lucid prose; how to deal with that academic bugaboo, "the literature." There is also a chapter by Pamela Richards on the personal and professional risks involved in scholarly writing.In recounting his own trials and errors Becker offers his readers not a model to be slavishly imitated but an example to inspire. Throughout, his focus is on the elusive work habits that contribute to good writing, not the more easily learned rules of grammar and punctuation. Although his examples are drawn from sociological literature, his conclusions apply to all fields of social science, and indeed to all areas of scholarly endeavor. The message is clear: you don't have to write like a social scientist to be one.

    Bannon had long sensed that deep within America's soul lurked an explosive tension. Cambridge Analytica had the data to prove it, and in 2016 Bannon had a presidential campaign to use as his proving ground.Christopher Wylie might have seemed an unlikely figure to be at the center of such an operation. Canadian and liberal in his politics, he was only twenty-four when he got a job with a London firm that worked with the U.K. Ministry of Defense and was charged putatively with helping to build a team of data scientists to create new tools to identify and combat radical extremism online. In short order, those same military tools were turned to political purposes, and Cambridge Analytica was born. Wylie's decision to become a whistleblower prompted the largest data crime investigation in history. His story is both exposé and dire warning about a sudden problem born of very new and powerful capabilities. It has not only exposed the profound vulnerabilities and profound carelessness in the enormous companies that drive the attention economy, it has also exposed the profound vulnerabilities of democracy itself. What happened in 2016 was just a trial run. Ruthless actors are coming for your data, and they want to control what you think.

    This is the book that brought gender differences in ways of speaking to the forefront of public awareness. With a rare combination of scientific insight and delightful, humorous writing, Tannen shows why women and men can walk away from the same conversation with completely different impressions of what was said.Studded with lively and entertaining examples of real conversations, this book gives you the tools to understand what went wrong -- and to find a common language in which to strengthen relationships at work and at home. A classic in the field of interpersonal relations, this book will change forever the way you approach conversations.

    Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

    In "Spent" Geoffrey Miller applies this revolutionary science's principles to a new domain: the sensual wonderland of marketing and status seeking that we call American consumer culture. Starting with the basic notion that the goods and services we buy unconsciously advertise our biological potential as mates and friends, Miller examines the hidden factors that dictate our choices in everything from lipstick to cars, from the magazines we read to the music we listen to. With humor and insight, Miller analyzes an array of product choices and deciphers what our decisions say about ourselves, giving us access to a new way of understanding-and improving-our behaviors. Like "Freakonomics" or "The Tipping Point, Spent" is a bold and revelatory book that illuminates the unseen logic behind the chaos of consumerism and suggests new ways we can become happier consumers and more responsible citizens.

    Wade have on violent crime? Freakonomics will literally redefine the way we view the modern world.These may not sound like typical questions for an economist to ask. But Steven D. Levitt is not a typical economist. He is a much heralded scholar who studies the stuff and riddles of everyday life -- from cheating and crime to sports and child rearing -- and whose conclusions regularly turn the conventional wisdom on its head. He usually begins with a mountain of data and a simple, unasked question. Some of these questions concern life-and-death issues; others have an admittedly freakish quality. Thus the new field of study contained in this book: freakonomics.Through forceful storytelling and wry insight, Levitt and co-author Stephen J. Dubner show that economics is, at root, the study of incentives -- how people get what they want, or need, especially when other people want or need the same thing. In Freakonomics, they set out to explore the hidden side of ... well, everything. The inner workings of a crack gang. The truth about real-estate agents. The myths of campaign finance. The telltale marks of a cheating schoolteacher. The secrets of the Ku Klux Klan.What unites all these stories is a belief that the modern world, despite a surfeit of obfuscation, complication, and downright deceit, is not impenetrable, is not unknowable, and -- if the right questions are asked -- is even more intriguing than we think. All it takes is a new way of looking. Steven Levitt, through devilishly clever and clear-eyed thinking, shows how to see through all the clutter.Freakonomics establishes this unconventional premise: If morality represents how we would like the world to work, then economics represents how it actually does work. It is true that readers of this book will be armed with enough riddles and stories to last a thousand cocktail parties. But Freakonomics can provide more than that. It will literally redefine the way we view the modern world.(front flap)

    Erikson underlie much of our understanding of human development. His insights into the interdependence of the individuals' growth and historical change, his now-famous concepts of identity, growth, and the life cycle, have changed the way we perceive ourselves and society. Widely read and cited, his works have won numerous awards including the Pulitzer Prize and the National Book Award.Combining the insights of clinical psychoanalysis with a new approach to cultural anthropology, Childhood and Society deals with the relationships between childhood training and cultural accomplishment, analyzing the infantile and the mature, the modern and the archaic elements in human motivation. It was hailed upon its first publication as "a rare and living combination of European and American thought in the human sciences" (Margaret Mead, The American Scholar). Translated into numerous foreign languages, it has gone on to become a classic in the study of the social significance of childhood.

    We spin fantasies. We devour novels, films, and plays. Even sporting events and criminal trials unfold as narratives. Yet the world of story has long remained an undiscovered and unmapped country. It’s easy to say that humans are “wired” for story, but why?In this delightful and original book, Jonathan Gottschall offers the first unified theory of storytelling. He argues that stories help us navigate life’s complex social problems—just as flight simulators prepare pilots for difficult situations. Storytelling has evolved, like other behaviors, to ensure our survival.Drawing on the latest research in neuroscience, psychology, and evolutionary biology, Gottschall tells us what it means to be a storytelling animal. Did you know that the more absorbed you are in a story, the more it changes your behavior? That all children act out the same kinds of stories, whether they grow up in a slum or a suburb? That people who read more fiction are more empathetic?Of course, our story instinct has a darker side. It makes us vulnerable to conspiracy theories, advertisements, and narratives about ourselves that are more “truthy” than true. National myths can also be terribly dangerous: Hitler’s ambitions were partly fueled by a story.But as Gottschall shows in this remarkable book, stories can also change the world for the better. Most successful stories are moral—they teach us how to live, whether explicitly or implicitly, and bind us together around common values. We know we are master shapers of story. The Storytelling Animal finally reveals how stories shape us.

    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

    If we started off with rudimentary utterances on the level of "man throw spear," how did we end up with sophisticated grammars, enormous vocabularies, and intricately nuanced degrees of meaning?Drawing on recent groundbreaking discoveries in modern linguistics, Deutscher exposes the elusive forces of creation at work in human communication, giving us fresh insight into how language emerges, evolves, and decays. He traces the evolution of linguistic complexity from an early "Me Tarzan" stage to such elaborate single-word constructions as the Turkish sehirlilestiremediklerimizdensiniz ("you are one of those whom we couldn't turn into a town dweller"). Arguing that destruction and creation in language are intimately entwined, Deutscher shows how these processes are continuously in operation, generating new words, new structures, and new meanings.

    Some modern thinkers view it as the first work dealing with the social sciences of sociology, demography, and cultural history. The Muqaddimah also deals with Islamic theology, historiography, the philosophy of history, economics, political theory, and ecology. It has also been described as an early representative of social Darwinism.

    In this brilliant study (his best-known and most controversial), he opposes the Marxist concept of dialectical materialism and its view that change takes place through "the struggle of opposites." Instead, he relates the rise of a capitalist economy to the Puritan determination to work out anxiety over salvation or damnation by performing good deeds — an effort that ultimately discouraged belief in predestination and encouraged capitalism. Weber's classic study has long been required reading in college and advanced high school social studies classrooms.

    The fifth edition preserves the lucid, lively and comprehensive qualities which marked the book in its earlier versions. Numerous student learning aids are provided.