In Words and Rules, Steven Pinker explains the mysteries of language by examining a single construction from a dozen viewpoints, proposing that the essence of language is a mental dictionary of memorized words, and a mental grammar of creative rules.

    This book covers relevant geometric principles and how to represent objects algebraically so they can be computed and applied. Recent major developments in the theory and practice of scene reconstruction are described in detail in a unified framework. Richard Hartley and Andrew Zisserman provide comprehensive background material and explain how to apply the methods and implement the algorithms. First Edition HB (2000): 0-521-62304-9

    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

    With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it.Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains:Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm Optimization algorithms that search millions of possible solutions to a problem and choose the best one Bayesian filtering, used in spam filters for classifying documents based on word types and other features Using decision trees not only to make predictions, but to model the way decisions are made Predicting numerical values rather than classifications to build price models Support vector machines to match people in online dating sites Non-negative matrix factorization to find the independent features in a dataset Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details."-- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths."-- Tim Wolters, CTO, Collective Intellect

    It discusses new results, along with applications of probability theory to a variety of problems. The book contains many exercises and is suitable for use as a textbook on graduate-level courses involving data analysis. Aimed at readers already familiar with applied mathematics at an advanced undergraduate level or higher, it is of interest to scientists concerned with inference from incomplete information.

    These black-and-white and vibrantly colored images, many resembling abstract art, are employed daily by scientists around the world, but most have never before been seen by the general public. Each chapter addresses a different set of techniques for studying the brain as revealed through the images, and each is introduced by a leading scientist in that field of study. Author Carl Schoonover’s captions provide detailed explanations of each image as well as the major insights gained by scientists over the course of the past 20 years. Accessible to a wide audience, this book reveals the elegant methods applied to study the mind, giving readers a peek at its innermost workings, helping us to understand them, and offering clues about what may lie ahead. Praise for Portraits of the Mind: "An odyssey through the brain, illuminated by a rainbow" --New York Times "Stunning images" --Scientific American "The collection of images in the new book Portraits of the Mind is truly impressive . . . The mix of history, science and art is terrific." -Wired.com "History, science, and art come together to provide a unique perspective on what's going on upstairs." --New Yorker.com "No knowledge of the source or subject matter of these images is necessary; the book is justified by their beauty alone." --Science "A remarkable new book"- -Discover.com "John Keats's insistence that truth is beauty is exemplified by Carl Schoonover's wonderful book Portraits of the Mind. Since one cannot understand the present without examining the past, this book offers a delightful and instructive way of accomplishing just that. I enthusiastically recommend this beautiful book both to students of brain science and to lovers of art." -Eric R. Kandel, MD, Nobel Prize in Physiology or Medicine, 2000; University Professor at Columbia; Fred Kavli Professor and Director, Kavli Institute for Brain Science; Senior Investigator at the Howard Hughes Medical Institute; and author of In Search of Memory: The Emergence of a New Science of Mind "Portraits of the Mind achieves a rare combination of beauty and knowledge. Its images of the brain are mesmerizing, from medieval engravings to modern visualizations as gorgeously abstract as anything by Rothko or de Kooning. And in explaining the nature of these images, this book also delivers an enlightening, up-to-date history of neuroscience." -Carl Zimmer, author of Soul Made Flesh: The Discovery of the Brain-and How It Changed the World and The Mind's Eye Goes Blind: Fifteen Journeys Through the Brain "Portraits of the Mind is a remarkable book that combines beautifully reproduced illustrations of the nervous system as it has been visualized over the centuries, as well as lively and authoritative commentaries by some of today's leading neuroscientists. It will be enjoyed by professionals and general readers alike." --Dale Purves, MD, Professor of Neurobiology, Psychology and Neuroscience; and Philosophy at Duke University

    In this richly illustrated book, accessible examples are used to show how information theory can be understood in terms of everyday games like '20 Questions', and the simple MatLab programs provided give hands-on experience of information theory in action. Written in a tutorial style, with a comprehensive glossary, this text represents an ideal primer for novices who wish to become familiar with the basic principles of information theory.Download chapter 1 from http://jim-stone.staff.shef.ac.uk/Boo...

    In Out of Our Heads, he restates and reexamines the problem of consciousness, and then proposes a startling solution: Do away with the two hundred-year-old paradigm that places consciousness within the confines of the brain. Our culture is obsessed with the brain—how it perceives; how it remembers; how it determines our intelligence, our morality, our likes and our dislikes. It’s widely believed that consciousness itself, that Holy Grail of science and philosophy, will soon be given a neural explanation. And yet, after decades of research, only one proposition about how the brain makes us conscious—how it gives rise to sensation, feeling, and subjectivity—has emerged unchallenged: We don’t have a clue. In this inventive work, Noë suggests that rather than being something that happens inside us, consciousness is something we do. Debunking an outmoded philosophy that holds the scientific study of consciousness captive, Out of Our Heads is a fresh attempt at understanding our minds and how we interact with the world around us.

    The book begins with an excerpt from Maxwell Bennett and Peter Hacker's Philosophical Foundations of Neuroscience (Blackwell, 2003), which questions the conceptual commitments of cognitive neuroscientists. Their position is then criticized by Daniel Dennett and John Searle, two philosophers who have written extensively on the subject, and Bennett and Hacker in turn respond.Their impassioned debate encompasses a wide range of central themes: the nature of consciousness, the bearer and location of psychological attributes, the intelligibility of so-called brain maps and representations, the notion of qualia, the coherence of the notion of an intentional stance, and the relationships between mind, brain, and body. Clearly argued and thoroughly engaging, the authors present fundamentally different conceptions of philosophical method, cognitive-neuroscientific explanation, and human nature, and their exchange will appeal to anyone interested in the relation of mind to brain, of psychology to neuroscience, of causal to rational explanation, and of consciousness to self-consciousness.In his conclusion Daniel Robinson (member of the philosophy faculty at Oxford University and Distinguished Professor Emeritus at Georgetown University) explains why this confrontation is so crucial to the understanding of neuroscientific research. The project of cognitive neuroscience, he asserts, depends on the incorporation of human nature into the framework of science itself. In Robinson's estimation, Dennett and Searle fail to support this undertaking; Bennett and Hacker suggest that the project itself might be based on a conceptual mistake. Exciting and challenging, Neuroscience and Philosophy is an exceptional introduction to the philosophical problems raised by cognitive neuroscience.

    Following an introduction to neural structure and function, all the key methods and procedures of cognitive neuroscience are explained, with a view to helping students understand how they can be used to shed light on the neural basis of cognition.The second part of the book goes on to present an up-to-date overview of the latest theories and findings in all the key topics in cognitive neuroscience, including vision, attention, memory, speech and language, numeracy, executive function and social and emotional behaviour. Throughout, case studies, newspaper reports and everyday examples are used to provide an easy way in to understanding the more challenging ideas that underpin the subject.In addition each chapter includes:Summaries of key terms and points Example essay questions to aid exam preparation Recommended further reading Feature boxes exploring interesting and popular questions and their implications for the subject.Written in an engaging style by a leading researcher in the field, this book will be invaluable as a core text for undergraduate modules in cognitive neuroscience. It can also be used as a key text on courses in cognition, cognitive neuropsychology or brain and behaviour. Those embarking on research will find it an invaluable starting point and reference.We offer CD-ROM-based resources free of charge to instructors who recommend The Student's Guide to Cognitive Neuroscience by Jamie Ward. These resources include:A chapter-by-chapter, illustrated slideshow lecture course An innovative bank of multiple-choice questions, graded according to difficulty and which allow for confidence-weighted answers Comprehensive lecture planning advice tailored to different length courses.Jamie Ward has researched and taught extensively in many areas of cognitive neuroscience. He is a leading authority on the subject of synaesthesia and has contributed to a wider understanding of it in both academic and lay circles.

    This edition contains NEW tables on Properties of Ionic Liquids, Solubilities of Hydrocarbons in Sea Water, Solubility of Organic Compounds in Superheated Water, and Nutritive Value of Foods. It also updates many tables including Critical Constants, Heats of Vaporization, Aqueous Solubility of Organic Compounds, Vapor Pressure of Mercury, Scientific Abbreviations and Symbols, and Bond Dissociation Energies. The 88th Edition also presents a new Foreword written by Dr. Harold Kroto, a 1996 Nobel Laureate in Chemistry.

    It takes a truly objects first approach to teaching problem solving using Java. These are complicated concepts so the book uses the development environment BlueJ to help the student's understanding. BlueJ has a strong emphasis on visualization and interaction techniques, and allows the students to manipulate objects and call methods as a first exercise. BlueJ is free and freely available, and has been developed specifically for teaching. The book is loaded with projects so that the student can really get a grip on actually solving problems; and it takes a spiral approach , introducing a topic in a simple context early on, then revisiting it later in the book to deepen understanding. It also comes with a CD containing JDK, BlueJ, a BlueJ tutorial and code for all the projects. The website contains style guide for all examples, PowerPoints for lecturers and also a Solutions Manual.

    It combines the latest findings from the field of neuroscience with expert text and state-of-the-art illustrations and imaging techniques to provide an incomparable insight into every facet of the brain. Layer by layer, it reveals the fascinating details of this remarkable structure, covering all the key anatomy and delving into the inner workings of the mind, unlocking its many mysteries, and helping you to understand what's going on in those millions of little gray and white cells.Tricky concepts are illustrated and explained with clarity and precision, as The Human Brain Book looks at how the brain sends messages to the rest of the body, how we think and feel, how we perform unconscious actions (for example breathing), explores the nature of genius, asks why we behave the way we do, explains how we see and hear things, and how and why we dream. Physical and psychological disorders affecting the brain and nervous system are clearly illustrated and summarized in easy-to-understand terms.The unique DVD brings the subject to life with interactive elements. These include a clickable model of the brain's structure that allows the user to zoom in and discover deeper layers of detail, while complex processes, such as the journey of a nerve impulse, are broken down and simplified through intuitive animations.

    I. is explored and explained in this best selling text. Assuming no prior knowledge, it covers topics like neural networks and robotics. This text explores the range of problems which have been and remain to be solved using A. I. tools and techniques. The second half of this text is an excellent reference.

    Its world-class authors provide guidance on all aspects of Bayesian data analysis and include examples of real statistical analyses, based on their own research, that demonstrate how to solve complicated problems. Changes in the new edition include:Stronger focus on MCMC Revision of the computational advice in Part III New chapters on nonlinear models and decision analysis Several additional applied examples from the authors' recent research Additional chapters on current models for Bayesian data analysis such as nonlinear models, generalized linear mixed models, and more Reorganization of chapters 6 and 7 on model checking and data collectionBayesian computation is currently at a stage where there are many reasonable ways to compute any given posterior distribution. However, the best approach is not always clear ahead of time. Reflecting this, the new edition offers a more pluralistic presentation, giving advice on performing computations from many perspectives while making clear the importance of being aware that there are different ways to implement any given iterative simulation computation. The new approach, additional examples, and updated information make Bayesian Data Analysis an excellent introductory text and a reference that working scientists will use throughout their professional life.