This is our culture’s image of the perfect self. We see this person everywhere: in advertising, in the press, all over social media. We’re told that to be this person you just have to follow your dreams, that our potential is limitless, that we are the source of our own success. But this model of the perfect self can be extremely dangerous. People are suffering under the torture of this impossible fantasy. Unprecedented social pressure is leading to increases in depression and suicide. Where does this ideal come from? Why is it so powerful? Is there any way to break its spell? To answer these questions, Selfie by Will Storr takes us from the shores of Ancient Greece, through the Christian Middle Ages, to the self-esteem evangelists of 1980s California, the rise of narcissism and the selfie generation, and right up to the era of hyper-individualistic neoliberalism in which we live now. It tells the extraordinary story of the person we all know so intimately – our self.

    According to Stewart Brand, a lifelong environmentalist who sees everything in terms of solvable design problems, three profound transformations are underway on Earth right now. Climate change is real and is pushing us toward managing the planet as a whole. Urbanization--half the world's population now lives in cities, and eighty percent will by midcentury--is altering humanity's land impact and wealth. And biotechnology is becoming the world's dominant engineering tool. In light of these changes, Brand suggests that environmentalists are going to have to reverse some longheld opinions and embrace tools that they have traditionally distrusted. Only a radical rethinking of traditional green pieties will allow us to forestall the cataclysmic deterioration of the earth's resources.Whole Earth Discipline shatters a number of myths and presents counterintuitive observations on why cities are actually greener than the countryside, how nuclear power is the future of energy, and why genetic engineering is the key to crop and land management. With a combination of scientific rigour and passionate advocacy, Brand shows us exactly where the sources of our dilemmas lie and offer a bold and inventive set of policies and solutions for creating a more sustainable society. In the end, says Brand, the environmental movement must become newly responsive to fast-moving science and take up the tools and discipline of engineering. We have to learn how to manage the planet's global-scale natural infrastructure with as light a touch as possible and as much intervention as necessary.

    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.

    Why did work become so miserable? Who is responsible? And does any company have a model for doing it right?For two years, Lyons ventured in search of answers. From the innovation-crazed headquarters of the Ford Motor Company in Detroit, to a cult-like "Holocracy" workshop in San Francisco, and to corporate trainers who specialize in ... Legos, Lyons immersed himself in the often half-baked and frequently lucrative world of what passes for management science today. He shows how new tools, workplace practices, and business models championed by tech's empathy-impaired power brokers have shattered the social contract that once existed between companies and their employees. These dystopian beliefs--often masked by pithy slogans like "We're a Team, Not a Family"--have dire consequences: millions of workers who are subject to constant change, dehumanizing technologies--even health risks. A few companies, however, get it right. With Lab Rats, Lyons makes a passionate plea for business leaders to understand this dangerous transformation, showing how profit and happy employees can indeed coexist.

    The doctor-patient relationship--the heart of medicine--is broken: doctors are too distracted and overwhelmed to truly connect with their patients, and medical errors and misdiagnoses abound. In Deep Medicine, leading physician Eric Topol reveals how artificial intelligence can help. AI has the potential to transform everything doctors do, from notetaking and medical scans to diagnosis and treatment, greatly cutting down the cost of medicine and reducing human mortality. By freeing physicians from the tasks that interfere with human connection, AI will create space for the real healing that takes place between a doctor who can listen and a patient who needs to be heard.Innovative, provocative, and hopeful, Deep Medicine shows us how the awesome power of AI can make medicine better, for all the humans involved.

    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

    Gleick's story begins at the turn of the twentieth century with the young H. G. Wells writing and rewriting the fantastic tale that became his first book, an international sensation, The Time Machine. A host of forces were converging to transmute the human understanding of time, some philosophical and some technological the electric telegraph, the steam railroad, the discovery of buried civilizations, and the perfection of clocks. Gleick tracks the evolution of time travel as an idea in the culture from Marcel Proust to Doctor Who, from Woody Allen to Jorge Luis Borges. He explores the inevitable looping paradoxes and examines the porous boundary between pulp fiction and modern physics. Finally, he delves into a temporal shift that is unsettling our own moment: the instantaneous wired world, with its all-consuming present and vanishing future.

    It is believed that we must commit 10,000 hours to master a skill.  According to Lieberman, each of us has spent 10,000 hours learning to make sense of people and groups by the time we are ten.  Social argues that our need to reach out to and connect with others is a primary driver behind our behavior.  We believe that pain and pleasure alone guide our actions.  Yet, new research using fMRI – including a great deal of original research conducted by Lieberman and his UCLA lab -- shows that our brains react to social pain and pleasure in much the same way as they do to physical pain and pleasure.  Fortunately, the brain has evolved sophisticated mechanisms for securing our place in the social world.  We have a unique ability to read other people’s minds, to figure out their hopes, fears, and motivations, allowing us to effectively coordinate our lives with one another.  And our most private sense of who we are is intimately linked to the important people and groups in our lives.  This wiring often leads us to restrain our selfish impulses for the greater good.  These mechanisms lead to behavior that might seem irrational, but is really just the result of our deep social wiring and necessary for our success as a species.   Based on the latest cutting edge research, the findings in Social have important real-world implications.  Our schools and businesses, for example, attempt to minimalize social distractions.  But this is exactly the wrong thing to do to encourage engagement and learning, and literally shuts down the social brain, leaving powerful neuro-cognitive resources untapped.  The insights revealed in this pioneering book suggest ways to improve learning in schools, make the workplace more productive, and improve our overall well-being.

    We take for granted that we can remember, feel emotion, navigate, empathize, and understand the world around us, but how would our lives change if these abilities were dramatically enhanced--or disappeared overnight?Helen Thomson has spent years traveling the world, tracking down incredibly rare brain disorders. In Unthinkable she tells the stories of nine extraordinary people she encountered along the way. From the man who thinks he's a tiger to the doctor who feels the pain of others just by looking at them to a woman who hears music that’s not there, their experiences illustrate how the brain can shape our lives in unexpected and, in some cases, brilliant and alarming ways.Story by remarkable story, Unthinkable takes us on an unforgettable journey through the human brain. Discover how to forge memories that never disappear, how to grow an alien limb, and how to make better decisions. Learn how to hallucinate and how to make yourself happier in a split second. Find out how to avoid getting lost, how to see more of your reality, even how exactly you can confirm you are alive. Think the unthinkable.

    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.

    Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not.Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you're familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format.With this book, you'll learn:Why exploratory data analysis is a key preliminary step in data scienceHow random sampling can reduce bias and yield a higher quality dataset, even with big dataHow the principles of experimental design yield definitive answers to questionsHow to use regression to estimate outcomes and detect anomaliesKey classification techniques for predicting which categories a record belongs toStatistical machine learning methods that "learn" from dataUnsupervised learning methods for extracting meaning from unlabeled data

    Devon Price, a conversational, stirring call to “a better, more human way to live” (Cal Newport, New York Times bestselling author) that examines the “laziness lie”—which falsely tells us we are not working or learning hard enough.Extra-curricular activities. Honors classes. 60-hour work weeks. Side hustles. Like many Americans, Dr. Devon Price believed that productivity was the best way to measure self-worth. Price was an overachiever from the start, graduating from both college and graduate school early, but that success came at a cost. After Price was diagnosed with a severe case of anemia and heart complications from overexertion, they were forced to examine the darker side of all this productivity. Laziness Does Not Exist explores the psychological underpinnings of the “laziness lie,” including its origins from the Puritans and how it has continued to proliferate as digital work tools have blurred the boundaries between work and life. Using in-depth research, Price explains that people today do far more work than nearly any other humans in history yet most of us often still feel we are not doing enough. Filled with practical and accessible advice for overcoming society’s pressure to do more, and featuring interviews with researchers, consultants, and experiences from real people drowning in too much work, Laziness Does Not Exist “is the book we all need right now” (Caroline Dooner, author of The F*ck It Diet).

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    On a frigid April night, a classically trained opera singer, five months pregnant, and her husband, a former marine biologist, disembark an Amtrak train in La Plata, Missouri, assemble two bikes, and pedal off into the night, bound for a homestead they've purchased, sight unseen. Meanwhile, a horticulturist, heir to the Great Migration that brought masses of African Americans to Detroit, and her husband, a product of the white flight from it, have turned to urban farming to revitalize the blighted city they both love. And near Missoula, Montana, a couple who have been at the forefront of organic farming for decades navigate what it means to live and raise a family ethically.A work of immersive journalism steeped in a distinctively American social history and sparked by a personal quest, The Unsettlers traces the search for the simple life through the stories of these new pioneers and what inspired each of them to look for -- or create -- a better existence. Captivating and clear-eyed, it dares us to imagine what a sustainable, ethical, authentic future might actually look like.

    The stakes could not be higher: a global architecture of behavior modification threatens human nature in the twenty-first century just as industrial capitalism disfigured the natural world in the twentieth.Zuboff vividly brings to life the consequences as surveillance capitalism advances from Silicon Valley into every economic sector. Vast wealth and power are accumulated in ominous new "behavioral futures markets," where predictions about our behavior are bought and sold, and the production of goods and services is subordinated to a new "means of behavioral modification."The threat has shifted from a totalitarian Big Brother state to a ubiquitous digital architecture: a "Big Other" operating in the interests of surveillance capital. Here is the crucible of an unprecedented form of power marked by extreme concentrations of knowledge and free from democratic oversight. Zuboff's comprehensive and moving analysis lays bare the threats to twenty-first century society: a controlled "hive" of total connection that seduces with promises of total certainty for maximum profit--at the expense of democracy, freedom, and our human future.With little resistance from law or society, surveillance capitalism is on the verge of dominating the social order and shaping the digital future--if we let it.Table of contentsINTRODUCTION1. Home or exile in the digital futureI. THE FOUNDATIONS OF SURVEILLANCE CAPITALISM2. August 9, 2011: Setting the stage for Surveillance Capitalism3. The discovery of behavioral surplus4. The moat around the castle5. The elaboration of Surveillance Capitalism: Kidnap, corner, compete6. Hijacked: The division of learning in societyII. THE ADVANCE OF SURVEILLANCE CAPITALISM7. The reality business8. Rendition: From experience to data9. Rendition from the depths10. Make them dance11. The right to the future tenseIII. INSTRUMENTARIAN POWER FOR A THIRD MODERNITY12. Two species of power13. Big Other and the rise of instrumentarian power14. A utopia of certainty15, The instrumentarian collective16. Of life in the hive17. The right to sanctuaryCONCLUSION18. A coup from aboveAcknowledgementsAbout the authorDetailed table of contentsNotesIndex