However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation. Similarly, new models based on kernels have had a significant impact on both algorithms and applications. This new textbook reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners, and assumes no previous knowledge of pattern recognition or machine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

    Helen Sword interviewed one hundred academics worldwide about their writing background and practices. Relatively few were trained as writers, she found, and yet all have developed strategies to thrive in their publish-or-perish environment.So how do these successful academics write, and where do they find the "air and light and time and space," in the words of poet Charles Bukowski, to get their writing done? What are their formative experiences, their daily routines, their habits of mind? How do they summon up the courage to take intellectual risks and the resilience to deal with rejection?Sword identifies four cornerstones that anchor any successful writing practice: Behavioral habits of discipline and persistence; Artisanal habits of craftsmanship and care; Social habits of collegiality and collaboration; and Emotional habits of positivity and pleasure. Building on this "BASE," she illuminates the emotional complexity of the writing process and exposes the lack of writing support typically available to early-career academics. She also lays to rest the myth that academics must produce safe, conventional prose or risk professional failure. The successful writers profiled here tell stories of intellectual passions indulged, disciplinary conventions subverted, and risk-taking rewarded. Grounded in empirical research and focused on sustainable change, Air & Light & Time & Space offers a customizable blueprint for refreshing personal habits and creating a collegial environment where all writers can flourish.

    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

    It could forever change how you experience and interact with your physical surroundings, open your eyes to the perversity of bad design and the desirability of good design, and raise your expectations about how things should be designed.B & W photographs and illustrations throughout.

    Each technique is introduced with a simple, jargon-free explanation, practical examples, and hands-on guidance for solving real problems with Excel or a TI-83/84 series calculator, including Plus models. Hate math? No sweat. You'll be amazed how little you need! For those who do have an interest in mathematics, optional "Equation Blackboard" sections review the equations that provide the foundations for important concepts. David M. Levine is a much-honored innovator in statistics education. He is Professor Emeritus of Statistics and Computer Information Systems at Bernard M. Baruch College (CUNY), and co-author of several best-selling books, including Statistics for Managers using Microsoft Excel, Basic Business Statistics, Quality Management, and Six Sigma for Green Belts and Champions. Instructional designer David F. Stephan pioneered the classroom use of personal computers, and is a leader in making Excel more accessible to statistics students. He has co-authored several textbooks with David M. Levine. Here's just some of what you'll learn how to do... Use statistics in your everyday work or study Perform common statistical tasks using a Texas Instruments statistical calculator or Microsoft Excel Build and interpret statistical charts and tables "Test Yourself" at the end of each chapter to review the concepts and methods that you learned in the chapter Work with mean, median, mode, standard deviation, Z scores, skewness, and other descriptive statistics Use probability and probability distributions Work with sampling distributions and confidence intervals Test hypotheses and decision-making risks with Z, t, Chi-Square, ANOVA, and other techniques Perform regression analysis and modeling The easy, practical introduction to statistics--for everyone! Thought you couldn't learn statistics? Think again. You can--and you will!

    Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications.Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives when interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications. The only necessary mathematical background is familiarity with elementary concepts of probability.The book is divided into three parts. Part I defines the reinforcement learning problem in terms of Markov decision processes. Part II provides basic solution methods: dynamic programming, Monte Carlo methods, and temporal-difference learning. Part III presents a unified view of the solution methods and incorporates artificial neural networks, eligibility traces, and planning; the two final chapters present case studies and consider the future of reinforcement learning.

    

    Research shows that DBT can improve your ability to handle distress without losing control and acting destructively. In order to make use of these techniques, you need to build skills in four key areas-distress tolerance, mindfulness, emotion regulation, and interpersonal effectiveness.The Dialectical Behavior Therapy Skills Workbook, a collaborative effort from three esteemed authors, offers straightforward, step-by-step exercises for learning these concepts and putting them to work for real and lasting change. Start by working on the introductory exercises and, after making progress, move on to the advanced-skills chapters. Whether you are a professional or a general reader, whether you use this book to support work done in therapy or as the basis for self-help, you'll benefit from this clear and practical guide to better managing your emotions.This book has been awarded The Association for Behavioral and Cognitive Therapies Self-Help Seal of Merit — an award bestowed on outstanding self-help books that are consistent with cognitive behavioral therapy (CBT) principles and that incorporate scientifically tested strategies for overcoming mental health difficulties. Used alone or in conjunction with therapy, our books offer powerful tools readers can use to jump-start changes in their lives.

    Discusses the causes, symptoms, and treatment of attention-deficit Disorder (ADD).

    This volume also features increased coverage of computational modelling, discussions of prominent methodological advances and an enhanced art programme.

    In this edition, the author continues to utilize the effective combination of a friendly writing style, thorough research and a contextual approach that emphasizes adolescence in contemporary society. The text's careful organization ensures maximum teaching flexibility that allows the chapters to work together or be covered in sequence or stand alone. Ethnicity and minority issues are thoroughly discussed in a way that enables students to see how the adolescent experience is shaped by class and culture. The strong pedagogical framework helps students organize and integrate material. Adolescence, 8th Edition, is based on solid research and theory, yet it has a distinctively real world feel that emphasizes the reality of being an adolescent in today's society.

    This clear, concise look at the basic principles and concepts of genetics uses a human genetics perspective to discuss the methods and experiments upon which genetic principles are based, such as DNA replication.

    This major work of ecological philosophy startles the senses out of habitual ways of perception.For a thousand generations, human beings viewed themselves as part of the wider community of nature, and they carried on active relationships not only with other people with other animals, plants, and natural objects (including mountains, rivers, winds, and weather patters) that we have only lately come to think of as inanimate. How, then, did humans come to sever their ancient reciprocity with the natural world? What will it take for us to recover a sustaining relation with the breathing earth?In The Spell of the Sensuous David Abram draws on sources as diverse as the philosophy of Merleau-Ponty, Balinese shamanism, Apache storytelling, and his own experience as an accomplished sleight-of-hand of magician to reveal the subtle dependence of human cognition on the natural environment. He explores the character of perception and excavates the sensual foundations of language, which--even at its most abstract--echoes the calls and cries of the earth. On every page of this lyrical work, Abram weaves his arguments with a passion, a precision, and an intellectual daring that recall such writers as Loren Eisleley, Annie Dillard, and Barry Lopez.

      Statistics are everywhere, as integral to science as they are to business, and in the popular media hundreds of times a day. In this age of big data, a basic grasp of statistical literacy is more important than ever if we want to separate the fact from the fiction, the ostentatious embellishments from the raw evidence -- and even more so if we hope to participate in the future, rather than being simple bystanders. In The Art of Statistics, world-renowned statistician David Spiegelhalter shows readers how to derive knowledge from raw data by focusing on the concepts and connections behind the math. Drawing on real world examples to introduce complex issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether a notorious serial killer could have been caught earlier, and if screening for ovarian cancer is beneficial. The Art of Statistics not only shows us how mathematicians have used statistical science to solve these problems -- it teaches us how we too can think like statisticians. We learn how to clarify our questions, assumptions, and expectations when approaching a problem, and -- perhaps even more importantly -- we learn how to responsibly interpret the answers we receive. Combining the incomparable insight of an expert with the playful enthusiasm of an aficionado, The Art of Statistics is the definitive guide to stats that every modern person needs.

    What makes this work so important is that it returned the body to the forefront of philosophy for the first time since Plato.