Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy presentation.Each chapter focuses on a specific problem in machine learning, such as classification, prediction, optimization, and recommendation. Using the R programming language, you'll learn how to analyze sample datasets and write simple machine learning algorithms. "Machine Learning for Hackers" is ideal for programmers from any background, including business, government, and academic research.Develop a naive Bayesian classifier to determine if an email is spam, based only on its textUse linear regression to predict the number of page views for the top 1,000 websitesLearn optimization techniques by attempting to break a simple letter cipherCompare and contrast U.S. Senators statistically, based on their voting recordsBuild a "whom to follow" recommendation system from Twitter data

    Feynman himself, however, insisted that the notes were not a record but the work itself. In Supersizing the Mind, Andy Clark argues that our thinking doesn't happen only in our heads but that certain forms of human cognizing include inextricable tangles of feedback, feed-forward and feed-around loops: loops that promiscuously criss-cross the boundaries of brain, body and world. The pen and paper of Feynman's thought are just such feedback loops, physical machinery that shape the flow of thought and enlarge the boundaries of mind. Drawing upon recent work in psychology, linguistics, neuroscience, artificial intelligence, robotics, human-computer systems, and beyond, Supersizing the Mind offers both a tour of the emerging cognitive landscape and a sustained argument in favor of a conception of mind that is extended rather than brain-bound. The importance of this new perspective is profound. If our minds themselves can include aspects of our social and physical environments, then the kinds of social and physical environments we create can reconfigure our minds and our capacity for thought and reason.

    The Archaeology of Mind presents an affective neuroscience approach which takes into consideration basic mental processes, brain functions, and emotional behaviors that all mammals share to locate the neural mechanisms of emotional expression. It reveals for the first time the deep neural sources of our values and basic emotional feelings.This book elaborates on the seven emotional systems that explain how we live and behave. These systems originate in deep areas of the brain that are remarkably similar across all mammalian species. When they are disrupted, we find the origins of emotional disorders:- SEEKING: how the brain generates a euphoric and expectant response- FEAR: how the brain responds to the threat of physical danger and death- RAGE: sources of irritation and fury in the brain- LUST: how sexual desire and attachments are elaborated in the brain- CARE: sources of maternal nurturance- GRIEF: sources of non-sexual attachments- PLAY: how the brain generates joyous, rough-and-tumble interactions- SELF: a hypothesis explaining how affects might be elaborated in the brainThe book offers an evidence-based evolutionary taxonomy of emotions and affects and, as such, a brand-new clinical paradigm for treating psychiatric disorders in clinical practice.

    In this lucid and revealing book, Marcus argues that the mind is not an elegantly designed organ but rather a “kluge,” a clumsy, cobbled-together contraption. He unveils a fundamentally new way of looking at the human mind -- think duct tape, not supercomputer -- that sheds light on some of the most mysterious aspects of human nature.Taking us on a tour of the fundamental areas of human experience -- memory, belief, decision-making, language, and happiness -- Marcus reveals the myriad ways our minds fall short. He examines why people often vote against their own interests, why money can’t buy happiness, why leaders often stick to bad decisions, and why a sentence like “people people left left” ties us in knots even though it’s only four words long.Marcus also offers surprisingly effective ways to outwit our inner kluge, for the betterment of ourselves and society. Throughout, he shows how only evolution -- haphazard and undirected -- could have produced the minds we humans have, while making a brilliant case for the power and usefulness of imperfection.

    Gödel received public recognition of his work in 1951 when he was awarded the first Albert Einstein Award for achievement in the natural sciences--perhaps the highest award of its kind in the United States. The award committee described his work in mathematical logic as "one of the greatest contributions to the sciences in recent times."However, few mathematicians of the time were equipped to understand the young scholar's complex proof. Ernest Nagel and James Newman provide a readable and accessible explanation to both scholars and non-specialists of the main ideas and broad implications of Gödel's discovery. It offers every educated person with a taste for logic and philosophy the chance to understand a previously difficult and inaccessible subject.New York University Press is proud to publish this special edition of one of its bestselling books. With a new introduction by Douglas R. Hofstadter, this book will appeal students, scholars, and professionals in the fields of mathematics, computer science, logic and philosophy, and science.

    They can navigate more data than a doctor or lawyer and act with greater precision. For many years we’ve taken solace in the notion that they can’t create. But now that algorithms can learn and adapt, does the future of creativity belong to machines, too?It is hard to imagine a better guide to the bewildering world of artificial intelligence than Marcus du Sautoy, a celebrated Oxford mathematician whose work on symmetry in the ninth dimension has taken him to the vertiginous edge of mathematical understanding. In The Creativity Code he considers what machine learning means for the future of creativity. The Pollockizer can produce drip paintings in the style of Jackson Pollock, Botnik spins off fanciful (if improbable) scenes inspired by J. K. Rowling, and the music-composing algorithm Emmy managed to fool a panel of Bach experts. But do these programs just mimic, or do they have what it takes to create? Du Sautoy argues that to answer this question, we need to understand how the algorithms that drive them work―and this brings him back to his own subject of mathematics, with its puzzles, constraints, and enticing possibilities.While most recent books on AI focus on the future of work, The Creativity Code moves us to the forefront of creative new technologies and offers a more positive and unexpected vision of our future cohabitation with machines. It challenges us to reconsider what it means to be human―and to crack the creativity code.

    Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.Each chapter will cover a different technique in a spreadsheet so you can follow along: - Mathematical optimization, including non-linear programming and genetic algorithms- Clustering via k-means, spherical k-means, and graph modularity- Data mining in graphs, such as outlier detection- Supervised AI through logistic regression, ensemble models, and bag-of-words models- Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation- Moving from spreadsheets into the R programming languageYou get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.

     Uses evidence from brain imaging, psychological experiments and studies of patients to explore the relationship between the mind and the brain Demonstrates that our knowledge of both the mental and physical comes to us through models created by our brain Shows how the brain makes communication of ideas from one mind to another possible

    Including a selection of exercises, adjusted for this edition, at the end of each chapter, it offers a new and simpler treatment of the representability of recursive functions, a traditional stumbling block for students on the way to the Godel incompleteness theorems.

    The book teaches a range of design and analysis techniques for problems that arise in computing applications. The text encourages an understanding of the algorithm design process and an appreciation of the role of algorithms in the broader field of computer science.

    

    Why do you still feel fat after losing weight? What makes video games so addictive? How can “practicing” your favorite sport in your imagination improve your game? The answers can be found in body maps.Just as road maps represent interconnections across the landscape, your many body maps represent all aspects of your bodily self, inside and out. In concert, they create your physical and emotional awareness and your sense of being a whole, feeling self in a larger social world.Moreover, your body maps are profoundly elastic. Your self doesn’t begin and end with your physical body but extends into the space around you. This space morphs every time you put on or take off clothes, ride a bike, or wield a tool. When you drive a car, your personal body space grows to envelop it. When you play a video game, your body maps automatically track and emulate the actions of your character onscreen. When you watch a scary movie, your body maps put dread in your stomach and send chills down your spine. If your body maps fall out of sync, you may have an out-of-body experience or see auras around other people.The Body Has a Mind of Its Own explains how you can tap into the power of body maps to do almost anything better–whether it is playing tennis, strumming a guitar, riding a horse, dancing a waltz, empathizing with a friend, raising children, or coping with stress. The story of body maps goes even further, providing a fresh look at the causes of anorexia, bulimia, obsessive plastic surgery, and the notorious golfer’s curse “the yips.” It lends insights into culture, language, music, parenting, emotions, chronic pain, and more. Filled with illustrations, wonderful anecdotes, and even parlor tricks that you can use to reconfigure your body sense, The Body Has a Mind of Its Own will change the way you think–about the way you think.“The Blakeslees have taken the latest and most exciting finds from brain research and have made them accessible. This is how science writing should always be.”–Michael S. Gazzaniga, Ph.D., author of The Ethical Brain“Through a stream of fascinating and entertaining examples, Sandra Blakeslee and Matthew Blakeslee illustrate how our perception of ourselves, and indeed the world, is not fixed but is surprisingly fluid and easily modified. They have created the best book ever written about how our sense of ‘self’ emerges from the motley collection of neurons we call the brain.”–Jeff Hawkins, co-author of On Intelligence “The Blakeslees have taken the latest and most exciting finds from brain research and have made them accessible. This is how science writing should always be.”–Michael S. Gazzaniga, Ph.D., author of The Ethical Brain“A marvelous book. In the last ten years there has been a paradigm shift in understanding the brain and how its various specialized regions respond to environmental challenges. In addition to providing a brilliant overview of recent revolutionary discoveries on body image and brain plasticity, the book is sprinkled with numerous insights.”–V. S. Ramachandran, M.D., director, Center for Brain and Cognition, University of California, San Diego

    Through the eyes of a curious scientist, she watched her mind deteriorate whereby she could not walk, talk, read, write, or recall any of her life. Because of her understanding of the brain, her respect for the cells in her body, and an amazing mother, Jill completely recovered. In My Stroke of Insight, she shares her recommendations for recovery and the insight she gained into the unique functions of the two halves of her brain. When she lost the skills of her left brain, her consciousness shifted away from normal reality where she felt "at one with the universe." Taylor helps others not only rebuild their brains from trauma, but helps those of us with normal brains better understand how we can consciously influence the neural circuitry underlying what we think, how we feel and how we react to life's circumstances.

    Beginning with the background and very nature of probability theory, the book then proceeds through sample spaces, combinatorial analysis, fluctuations in coin tossing and random walks, the combination of events, types of distributions, Markov chains, stochastic processes, and more. The book's comprehensive approach provides a complete view of theory along with enlightening examples along the way.

    The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to take a hard pass on Knuth's brilliant but impenetrable theories and the dense multi-page proofs you'll find in most textbooks, this is the book for you. This fully-illustrated and engaging guide makes it easy for you to learn how to use algorithms effectively in your own programs.Grokking Algorithms is a disarming take on a core computer science topic. In it, you'll learn how to apply common algorithms to the practical problems you face in day-to-day life as a programmer. You'll start with problems like sorting and searching. As you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression or artificial intelligence. Whether you're writing business software, video games, mobile apps, or system utilities, you'll learn algorithmic techniques for solving problems that you thought were out of your grasp. For example, you'll be able to:Write a spell checker using graph algorithmsUnderstand how data compression works using Huffman codingIdentify problems that take too long to solve with naive algorithms, and attack them with algorithms that give you an approximate answer insteadEach carefully-presented example includes helpful diagrams and fully-annotated code samples in Python. By the end of this book, you will know some of the most widely applicable algorithms as well as how and when to use them.