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.

    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.

    It covers the basics of computer programming, including variables and values, functions, conditionals and control flow, program development and debugging. Later chapters cover basic algorithms and data structures.

    Incorporating biological, medicinal, and environmental applications, it builts an art program. Highlighting the art program are micro-to-macro art pieces that visually guide students to conceptually understand organic chemistry.

    The text begins with a discussion of the real number system as a complete ordered field. (Dedekind's construction is now treated in an appendix to Chapter I.) The topological background needed for the development of convergence, continuity, differentiation and integration is provided in Chapter 2. There is a new section on the gamma function, and many new and interesting exercises are included. This text is part of the Walter Rudin Student Series in Advanced Mathematics.

    The classic organization of the text has been preserved, with new standalone viscous flow sections at the end of various chapters to conceptualize the coverage of this topic in part 4, and complement discussion of fundamental principles in part 1, inviscid incompressible flow in part 2, and inviscid compressible flow in part 3. Historical topics, carefully developed examples, numerous illustrations, and a wide selection of chapter problems are found throughout the text to motivate and challenge students of aerodynamics. This is the most reliable up-to-date text for students and teachers of aerodynamics. New edition will include a new support tools Aerodynamics website, including animation and simulation tools. New edition will emphasize modern methods without diminishing the study of pure theory and experiment.

    Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools.Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python.With this handbook, you’ll learn how to use: * IPython and Jupyter: provide computational environments for data scientists using Python * NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python * Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python * Matplotlib: includes capabilities for a flexible range of data visualizations in Python * Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms

    As relevant as when it was first published in 1968, groundbreaking director and cofounder of the Royal Shakespeare Company Peter Brook draws on a life in love with the stage to explore the issues facing a theatrical performance—of any scale. He describes important developments in theatre from the last century, as well as smaller scale events, from productions by Stanislavsky to the rise of Method Acting, from Brecht’s revolutionary alienation technique to the free form happenings of the 1960s, and from the different styles of such great Shakespearean actors as John Gielgud and Paul Scofield to a joyous impromptu performance in the burnt-out shell of the Hamburg Opera just after the war. Passionate, unconventional, and fascinating, this book shows how theatre defies rules, builds and shatters illusions, and creates lasting memories for its audiences.

    Each chapter focuses on a domain of development such as physical growth, cognition, or personality and traces developmental trends and influences in that domain from infancy to old age. Within each chapter, you will find sections on four life stages: Infancy, Childhood, Adolescence, and Adulthood. This unique organization enables students to comprehend the processes of transformation that occur in key areas of human development. This new edition includes a clear focus on the complex interactions of nature and nurture in development, more integrated coverage of culture and diversity, and an exciting new media package for both students and instructors.

    Included are 175 easy-to-use strategies, lessons, and checklists for effective classroom management, and over 50 reproducible samples that you can adopt immediately for planning, evaluation, or assignments. The Guide helps you create a classroom that reflects the excitement for learning that every English teacher desires.

    Organized by theory, this popular text discusses major theorists who represent psychoanalytic, neopsychoanalytic, life-span, trait, humanistic, cognitive, behavioral, and social-learning approaches, while demonstrating the influence of events in theorists' personal and professional lives on the development of these theories. The book also explores the ways in which race, gender, and cultural issues play a part in the study of personality and in personality assessment, and includes numerous examples, tables, and figures that further enhance students' understanding of the content. The final chapter, "Personality in Perspective," integrates topics explored in previous chapters and suggests conclusions that can be drawn from the many theorists' work.

    It continues to offer the most balanced approach to literacy instruction on the market today, while providing the clearest look into successful literacy teaching. The new 4th Edition has been thoroughly revised to address the realities of today's classroom and to provide invaluable practical resources instructors will want their students to keep for use in their own classroom.

    It is the definitive reference guide, now in a second edition. Although the first edition was written in 1978, it continues to be a worldwide best-seller. This second edition brings the classic original up to date to include the ANSI standard. From the Preface: We have tried to retain the brevity of the first edition. C is not a big language, and it is not well served by a big book. We have improved the exposition of critical features, such as pointers, that are central to C programming. We have refined the original examples, and have added new examples in several chapters. For instance, the treatment of complicated declarations is augmented by programs that convert declarations into words and vice versa. As before, all examples have been tested directly from the text, which is in machine-readable form. As we said in the first preface to the first edition, C "wears well as one's experience with it grows." With a decade more experience, we still feel that way. We hope that this book will help you to learn C and use it well.

    Capturing the tone of students exchanging ideas among themselves, this unique guide also explains how calculus is taught, how to get the best teachers, what to study, and what is likely to be on exams—all the tricks of the trade that will make learning the material of first-semester calculus a piece of cake. Funny, irreverent, and flexible, How to Ace Calculus shows why learning calculus can be not only a mind-expanding experience but also fantastic fun.

    The Seventh Edition has been carefully updated and revised, adding a wealth of new applications and examples that analyze the important lessons offered by eBay, Google, Verizon, IBM, Microsoft, Bank of America, drug companies, the Yellow Pages, and more.