Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, recognize faces or spoken speech, optimize robot behavior so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data. "Introduction to Machine Learning" is a comprehensive textbook on the subject, covering a broad array of topics not usually included in introductory machine learning texts. It discusses many methods based in different fields, including statistics, pattern recognition, neural networks, artificial intelligence, signal processing, control, and data mining, in order to present a unified treatment of machine learning problems and solutions. All learning algorithms are explained so that the student can easily move from the equations in the book to a computer program. The book can be used by advanced undergraduates and graduate students who have completed courses in computer programming, probability, calculus, and linear algebra. It will also be of interest to engineers in the field who are concerned with the application of machine learning methods.After an introduction that defines machine learning and gives examples of machine learning applications, the book covers supervised learning, Bayesian decision theory, parametric methods, multivariate methods, dimensionality reduction, clustering, nonparametric methods, decision trees, linear discrimination, multilayer perceptrons, local models, hidden Markov models, assessing and comparing classification algorithms, combining multiple learners, and reinforcement learning.

    This work includes strategies that provide teachers and teaching assistants with different perspectives, practical tools and the confidence for supporting these children.

    Terms are introduced in the context of human anatomy and physiology to help you understand exactly what they mean, and case studies and vignettes throughout the book demonstrate how they're used in practice. With all this plus NEW animations and games on the companion CD, you'll be amazed at how easily medical terminology becomes part of your vocabulary.

    His experience was not the little league, boys-of-summer stuff of modern America. For him, it was life and death. Now middleaged and living in California, Alan finds himself coaching a team of eight-year-olds in his beloved sport—and nothing is going right. For a start, the kids are no good at soccer. Secondly, they’re pampered. Born and bred on the sport, Black’s hardscrabble Scottish upbringing consisted of playing tough and victory at all costs. Needless to say, his coaching methods are a far cry from the “winning isn’t everything” mentality his little leaguers have been reared with; and players and parents alike are shocked as Black attempts to transform the losing team through drills and bombast. Alone at night, watching evangelicals on TV, Black finds himself searching for some truth in the culture he finds so bizarre. And it’s with the Tigers that he feels most out of sync—faced with a mix of soft suburban children, a raft of overprotective parents, and an Iranian co-coach called Ali. Told with Black’s uproarious Scottish sensibility, Kick the Balls follows the abrasive, irreverent, and hilarious coach as he contends with a team that winds up with a zero-win record. Both a celebration of his own tough childhood and an account of one man’s navigation of an alien culture, Kick the Balls will delight fans of well-told, laugh-out-loud memoirs.

     Coauthored by the designer of the Scala language, this authoritative book will teach you, one step at a time, the Scala language and the ideas behind it. The book is carefully crafted to help you learn. The first few chapters will give you enough of the basics that you can already start using Scala for simple tasks. The entire book is organized so that each new concept builds on concepts that came before - a series of steps that promises to help you master the Scala language and the important ideas about programming that Scala embodies. A comprehensive tutorial and reference for Scala, this book covers the entire language and important libraries.

    Authors Juliet Corbin and the late Anselm Strauss (co-creator of Grounded Theory) present methods that enable researchers to analyze and interpret their data, and ultimately build theory from it. Highly accessible in their approach, Corbin and Strauss provide a step-by-step guide to the research act--from the formation of the research question through several approaches to coding and analysis, to reporting on the research. Full of definitions and illustrative examples, this book concludes with chapters that present criteria for evaluating a study, as well as responses to common questions posed by students of qualitative research. Significantly revised, Basics of Qualitative Research remains a landmark volume in the study of qualitative methods. Key Features of the Third Edition:Allows for students to develop their critical thinking skills in the "Critical Issues" section at the end of each chapter.Shows the actual steps involved in data analysis (from description to grounded theory) and data gathering by means of theoretical sampling.Provides exercises for thinking, writing and group discussion that reinforces material presented in the text.

    Rutanya frames her diary with anecdotes of Robert Altman, Joan Crawford, Brian De Palma, Bob Dylan, Elia Kazan, Sam Peckinpah, Roman Polanski, Lee Strasberg, Barbra Streisand, and John Wayne, among others-a rich cast of her life's characters, who in turn entertain, illuminate, and ultimately weave Rutanya's life into Carol Ann's, setting the stage for you to vicariously live through the making of this cult classic, from her audition in the living room of director Frank Perry to the wrap party on the last day of shooting.

    In this revision, the author takes a structured approach to explaining how networks function.

    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.

    Intermediate Accounting integrates this new information throughout the chapters so they'll learn how to apply the new global accounting standards. Global examples are presented to clearly show how the information is utilised in the field. The use of various currencies is also explored, which is critical for accountants to know in today's global businesses environment.

    His father abandoned his family; his mother constantly told Kirk that he was an unwanted child and left him to be adopted when he was four; his sister became a crack addict; he never saw a black man who was faithful in marriage. Despite his shaky foundation he found strength and success through his music and through God.In The Blueprint, Franklin will explain how, by communicating with life’s architect, God, he learned to see hardships as necessary life propellants and moved on to become the bestselling gospel musician in recent history, as well as a devoted husband and loving father.This is not a step program, it’s a lifelong journey. Franklin’s real world words of wisdom will help guide you to:• Pursue your dreams without losing yourself in the chase.• Do some lifescaping to eliminate the “weeds” that hold you back.• Declare your life to be drama-free.• Get past your fears so you can live and love fully.• Pass the baton to future generations by leading by example.

    I've examined every one and Cipani's is clearly the best. The assessment part is great, and I particularly like the protocol format for interventions. Cipani's text nicely fills a big gap between research and application. Were I teaching a seminar to clinicians, I think the text would be perfect. -- Brian A. Iwata, PhD, University of FloridaProfessionals who work in mental health and educational settings are frequently faced with clients (children, adolescents, adults) who engage in serious problem behaviors. Such behaviors often impact the client's welfare and ability to live, work, and be educated in mainstream environments. Children and adolescents who manifest these behaviors are particularly vulnerable to these disruptions, which can have a far-reaching impact on their development and future prospects.This practical book, written both for clinician/educators and high-level students, creates a function-based behavioral diagnostic classification system, the first of its kind, as well as treatment protocols that fit such a diagnostic system. Heavily practitioner-oriented, the book will address the full range of behaviors - ranging from aggression, self-injury, stereotypic behavior (repetitive body movements), tantrums, and non-compliance - with real life and hypothetical cases to help clinicians think through the full range of treatment options. Unique in moving beyond functional assessment to assessment diagnosis and treatment, this book will be highly useful for mental health clinicians, students of Advanced Behavior Analysis, and special education practitioners among others.Professor Cipani has also prepared extensive ancillary material for use in teaching this book and will make it available to anyone who has adopted it for course use. Instructors who have adopted the title may inquire of Professor Cipani at ennioc26@hotmail.com

    This Eighth Edition of Vector Mechanics for Engineers: Statics marks the fiftieth anniversary of the Beer/Johnston series. Over the years, these textbooks have introduced theoretical and pedagogical innovations in statics, dynamics, and mechanics of materials education.

    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.

    The revised edition provides additional grammar topics and expanded treatment of others, more exercises and progress tests at intervals throughout the book, and more illustrated dialogues and texts (the grammar presentations make frequent use of pictures and dialogues to establish contexts for use).