We obsess over our emails, Instagram likes, and Facebook feeds; we binge on TV episodes and YouTube videos; we work longer hours each year; and we spend an average of three hours each day using our smartphones. Half of us would rather suffer a broken bone than a broken phone, and Millennial kids spend so much time in front of screens that they struggle to interact with real, live humans. In this revolutionary book, Adam Alter, a professor of psychology and marketing at NYU, tracks the rise of behavioral addiction, and explains why so many of today's products are irresistible. Though these miraculous products melt the miles that separate people across the globe, their extraordinary and sometimes damaging magnetism is no accident. The companies that design these products tweak them over time until they become almost impossible to resist. By reverse engineering behavioral addiction, Alter explains how we can harness addictive products for the good—to improve how we communicate with each other, spend and save our money, and set boundaries between work and play—and how we can mitigate their most damaging effects on our well-being, and the health and happiness of our children.

    Paul Farmer, a physician and anthropologist with twenty years of experience working in Haiti, Peru, and Russia, argues that promoting the social and economic rights of the world’s poor is the most important human rights struggle of our times. With passionate eyewitness accounts from the prisons of Russia and the beleaguered villages of Haiti and Chiapas, this book links the lived experiences of individual victims to a broader analysis of structural violence. Farmer challenges conventional thinking within human rights circles and exposes the relationships between political and economic injustice, on one hand, and the suffering and illness of the powerless, on the other.Farmer shows that the same social forces that give rise to epidemic diseases such as HIV and tuberculosis also sculpt risk for human rights violations. He illustrates the ways that racism and gender inequality in the United States are embodied as disease and death. Yet this book is far from a hopeless inventory of abuse. Farmer’s disturbing examples are linked to a guarded optimism that new medical and social technologies will develop in tandem with a more informed sense of social justice. Otherwise, he concludes, we will be guilty of managing social inequality rather than addressing structural violence. Farmer’s urgent plea to think about human rights in the context of global public health and to consider critical issues of quality and access for the world’s poor should be of fundamental concern to a world characterized by the bizarre proximity of surfeit and suffering.

    As Specht and Courtney persuasively demonstrate, if social work continues to drift in this direction there is good reason to expect that the profession will be entirely engulfed by psychotherapy within the next twenty years, leaving a huge gap in the provision of social services traditionally filled by social workers. The authors examine the waste of public funds this trend occasions, as social workers educated with public money abandon community service in increasing numbers.

    The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo MCMC. Additional application areas explored include genetics, medicine, computer science, and information theory. The print book version includes a code that provides free access to an eBook version. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment.

    The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. *NEW-Nontechnical learning material-Accompanies each part of the book. *NEW-The Internet as a sample application for intelligent systems-Added in several places including logical agents, planning, and natural language. *NEW-Increased coverage of material - Includes expanded coverage of: default reasoning and truth maintenance systems, including multi-agent/distributed AI and game theory; probabilistic approaches to learning including EM; more detailed descriptions of probabilistic inference algorithms. *NEW-Updated and expanded exercises-75% of the exercises are revised, with 100 new exercises. *NEW-On-line Java software. *Makes it easy for students to do projects on the web using intelligent agents. *A unified, agent-based approach to AI-Organizes the material around the task of building intelligent agents. *Comprehensive, up-to-date coverage-Includes a unified view of the field organized around the rational decision making pa

    These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics, and cryptography. This textbook introduces theory in tandem with applications. Information theory is taught alongside practical communication systems, such as arithmetic coding for data compression and sparse-graph codes for error-correction. A toolbox of inference techniques, including message-passing algorithms, Monte Carlo methods, and variational approximations, are developed alongside applications of these tools to clustering, convolutional codes, independent component analysis, and neural networks. The final part of the book describes the state of the art in error-correcting codes, including low-density parity-check codes, turbo codes, and digital fountain codes -- the twenty-first century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, David MacKay's groundbreaking book is ideal for self-learning and for undergraduate or graduate courses. Interludes on crosswords, evolution, and sex provide entertainment along the way. In sum, this is a textbook on information, communication, and coding for a new generation of students, and an unparalleled entry point into these subjects for professionals in areas as diverse as computational biology, financial engineering, and machine learning.

    Author Jigar Shah, internationally recognized for revolutionizing the now multi-billion-dollar solar energy industry, outlines how entrepreneurs and investors can unlock the massive potential that climate change represents. Shah argues that, while new technical innovation is valuable, deployment of existing technologies are the key to reaching our near-term climate targets. Rather than waiting for yet to be developed technology, business model innovation is the key to attract mainstream capital and unlock transformational change. Shah makes a compelling case for reaching our 2020 climate change goals through 100,000 companies worldwide, each generating $100 million in sales. Unlocking our next economy will be driven by thousands of companies deploying existing clean and resource-efficient technologies in electricity-supply (like solar), transportation, building materials, industry, forestry, waste, and agriculture. Shah is not alone; according to the International Energy Agency, and others, $10 trillion can be invested profitably—today—in the world’s existing technologies, making Shah’s plan of 100,000 companies each generating $100 million in sales a reality in catalyzing a new economy in the process. Creating Climate Wealth is also the personal story of Shah’s journey through the solar industry and the founding of SunEdison, the world’s largest solar energy company. Through business model innovations, SunEdison helped trigger the multi-billion dollar solar energy services industry. Shah’s revolutionary approach has been emulated throughout the solar industry. But perhaps more important, it is also being adapted for other industrial sectors like agriculture and transportation – unlocking incredible new revenue streams, creating hundreds of thousands of jobs, and positively transforming the planet on a global level. This implementation of business-based solutions to solve complex social problems represents a new economic movement; driven by “Impact Investments.” Impact Investments are changing the world for the better, promoting development and economic growth, and encouraging local entrepreneurship. Unlocking these opportunities represent the largest wealth creation opportunity of our generation. Whether you are interested in climate change, poverty alleviation, or just promoting projects that make financial sense, this book is for you. Jigar Shah provides a proven roadmap to understanding the Impact Economy, and creating the lasting changes that will improve our world for future generations.

    Today’s "machine-learning" systems, trained by data, are so effective that we’ve invited them to see and hear for us?and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem.Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole?and appear to assess Black and White defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And as autonomous vehicles share our streets, we are increasingly putting our lives in their hands.The mathematical and computational models driving these changes range in complexity from something that can fit on a spreadsheet to a complex system that might credibly be called “artificial intelligence.” They are steadily replacing both human judgment and explicitly programmed software.In best-selling author Brian Christian’s riveting account, we meet the alignment problem’s “first-responders,” and learn their ambitious plan to solve it before our hands are completely off the wheel. In a masterful blend of history and on-the ground reporting, Christian traces the explosive growth in the field of machine learning and surveys its current, sprawling frontier. Readers encounter a discipline finding its legs amid exhilarating and sometimes terrifying progress. Whether they—and we—succeed or fail in solving the alignment problem will be a defining human story.The Alignment Problem offers an unflinching reckoning with humanity’s biases and blind spots, our own unstated assumptions and often contradictory goals. A dazzlingly interdisciplinary work, it takes a hard look not only at our technology but at our culture—and finds a story by turns harrowing and hopeful.

    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.

    With this book, you'll learn how to load data, assemble and disassemble data objects, navigate R's environment system, write your own functions, and use all of R's programming tools.RStudio Master Instructor Garrett Grolemund not only teaches you how to program, but also shows you how to get more from R than just visualizing and modeling data. You'll gain valuable programming skills and support your work as a data scientist at the same time.Work hands-on with three practical data analysis projects based on casino gamesStore, retrieve, and change data values in your computer's memoryWrite programs and simulations that outperform those written by typical R usersUse R programming tools such as if else statements, for loops, and S3 classesLearn how to write lightning-fast vectorized R codeTake advantage of R's package system and debugging toolsPractice and apply R programming concepts as you learn them

    Tell people that the mind is like space: open, clear and limitless, and talk about both the way and the goal." In 1969 Ole and Hannah Nydahl became the first Western students of H.H. the Karmapa, the head of the Kagyu tradition of Tibetan Buddhism. After years of practice in the Himalayas, he authorized them to teach and start centers in his name. An audience with the Queen of Denmark started their work in the West. A basement in historical Copenhagen became the first Tibetan Buddhist center on the European continent, and a rusted-through VW-bus with race-car qualities got them everywhere. Riding the Tiger is the inside story of the development of Tibetan Buddhism in the West. In his refreshingly unsentimental style, Lama Ole shows all aspects of the work. With breathtaking intensity, he highlights both healthy and unhealthy tendencies in the light of the Buddha's ultimate aim: to bring about the fully developed beings whose every activity blesses the world. Amazon Review: Jason Anderson from Monterey, CA: "Lama Ole Nydahl is a unique figure in modern Buddhist history--first Western student of the Black Hat lama, H.H. the XVIth Gyalwa Karmapa, married lama 'without robes, ' and spiritual figure personally chosen by the Karmapa to teach and make foundations in his name--and Riding the Tiger is filled to overflowing with his particular energies and gifts. It is a galloping book that takes the reader around the world, inviting him in for a close-up look at the making of a Buddhist center for meditation and study, and Lama Ole has successfully started over one hundred such centers. And a deep look, as well, at the nature of Buddhism in the West, how it has been transplanted, how it has flourished. ... This is a magical book and a magical ride!

    Focusing on the concept of 'relational depth', authors Dave Mearns and Mick Cooper describe a form of encounter in which therapist and client experience profound feelings of contact and engagement with each other and in which the client has an opportunity to explore whatever is experienced as most fundamental to her or his existence.

    From the classroom to the courtroom and from financial markets to supermarkets, Mlodinow's intriguing and illuminating look at how randomness, chance, and probability affect our daily lives will intrigue, awe, and inspire.

    This staggering amount of information—unprecedented in history—can tell us a great deal about who we are—the fears, desires, and behaviors that drive us, and the conscious and unconscious decisions we make. From the profound to the mundane, we can gain astonishing knowledge about the human psyche that less than twenty years ago, seemed unfathomable.Everybody Lies offers fascinating, surprising, and sometimes laugh-out-loud insights into everything from economics to ethics to sports to race to sex, gender and more, all drawn from the world of big data. What percentage of white voters didn’t vote for Barack Obama because he’s black? Does where you go to school effect how successful you are in life? Do parents secretly favor boy children over girls? Do violent films affect the crime rate? Can you beat the stock market? How regularly do we lie about our sex lives and who’s more self-conscious about sex, men or women?Investigating these questions and a host of others, Seth Stephens-Davidowitz offers revelations that can help us understand ourselves and our lives better. Drawing on studies and experiments on how we really live and think, he demonstrates in fascinating and often funny ways the extent to which all the world is indeed a lab. With conclusions ranging from strange-but-true to thought-provoking to disturbing, he explores the power of this digital truth serum and its deeper potential—revealing biases deeply embedded within us, information we can use to change our culture, and the questions we’re afraid to ask that might be essential to our health—both emotional and physical. All of us are touched by big data everyday, and its influence is multiplying. Everybody Lies challenges us to think differently about how we see it and the world.

    Kathryn Schulz, editor of Grist magazine, argues that error is the fundamental human condition and should be celebrated as such. Guiding the reader through the history and psychology of error, from Socrates to Alan Greenspan, Being Wrong will change the way you perceive screw-ups, both of the mammoth and daily variety, forever.