All of them - hikers, hunters, fishermen, campers, and canoeists - are drawn to the woods for some special reason. Yet few of them see the forest as a whole, as the web of life it truly is. Here, from New York Times bestselling author Richard M. Ketchum, is the extraordinary story of forests and the trees that comprise them.

    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.

    Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

    This edition provides increased coverage of taste and smell, circadian rhythms, brain development, and developmental disorders and includes new information on molecular mechanisms and functional brain imaging. Path of Discovery boxes, written by leading researchers, highlight major current discoveries. In addition, readers will be able to assess their knowledge of neuroanatomy with the Illustrated Guide to Human Neuroanatomy, which includes a perforated self-testing workbook.This edition's robust ancillary package includes a bound-in student CD-ROM, an Instructor's Resource CD-ROM, and resources online.

    Swift builds on the best of C and Objective-C, without the constraints of C compatibility. Swift adopts safe programming patterns and adds modern features to make programming easier, more flexible, and more fun. Swift’s clean slate, backed by the mature and much-loved Cocoa and Cocoa Touch frameworks, is an opportunity to reimagine how software development works.

    But that does not even begin to convey what the Berger experience is: What makes these bestselling textbooks so distinctive is the unmistakable presence of KATHLEEN STASSEN BERGER on every page, in writing that continually draws on the author’s teaching and family life to demonstrate a remarkable understanding not just of the field, but of students’ questions, their concerns, and their lives.The distinctive, definitive BERGER touch is evident throughout her new textbook, Invitation to the Life Span. This brief, original, 15-chapter textbook was created from page 1 to address the challenges teachers and students face when covering the entire life span in a semester (or even a quarter!). The hallmark Berger qualities are all here—the relatable presentation of research, the inclusive approach to world cultures, the study help that builds critical thinking and observational skills, the outstanding media and supplements—and all held together with Berger’s skill in bringing students and the science together.

    In this remarkably engaging story, we walk beside the lovers as they touch the divine and then struggle to ground their love in daily life. From the heights of sacred sexuality to the depths of human foible, they ultimately have to choose- die to this love, or shrink back to mediocrity, open to the next portal of possibility or postpone it until the next lifetime. Shaped and reshaped in love’s cosmic kiln, Sarah and Lowen become a symbol of our own longing for wholeness in the presence of another.This book is not a regular love story. It is not like anything written before. It is more of a sacred text- one that people will turn to for years to discuss and understand the ecstasies and challenges of love. It was inspired by the author’s lived experience, and describes a relationship phenomena that will have a strong resonance for readers. In a world that yearns for deep soul connection, ‘An Uncommon Bond’ provides a blueprint of possibility for all of us- reminding us of the luminous nature of great love, and showing us the opportunities for expansion that live at its heart. The path of the beloved is no easy walk, but the fruits of our labor are ripe with blessings.

     He's been hunted like a rat for longer than he can remember. But now he's come into the light. And the darkness is waiting.

    -- M. Carolyn Clark, Department of Educational Human Resource Development, College of Education, Texas A&M University Since Merriam's definitive Case Study Research in Education first appeared in 1988, significant advances have occurred in the field of qualitative research. To meet the demand for a book that reflects these important changes, Merriam has completely revised and updated her classic work.Timely, authoritative, and approachable, Qualitative Research and Case Study Applications in Education is a practical resource that offers the information and guidance needed to manage all phases of the qualitative and case study research process.

    While this version features an older Dummies cover and design, the content is the same as the new release and should not be considered a different product. The fun and easy way to get up to speed on the basic concepts of physics For high school and undergraduate students alike, physics classes are recommended or required courses for a wide variety of majors, and continue to be a challenging and often confusing course.Physics I For Dummies tracks specifically to an introductory course and, keeping with the traditionally easy-to-follow Dummies style, teaches you the basic principles and formulas in a clear and concise manner, proving that you don't have to be Einstein to understand physics!Explains the basic principles in a simple, clear, and entertaining fashion New edition includes updated examples and explanations, as well as the newest discoveries in the field Contains the newest teaching techniques If just thinking about the laws of physics makes your head spin, this hands-on, friendly guide gets you out of the black hole and sheds light on this often-intimidating subject.

    Takes you from the fundamentals of fingerpicking to five authentic blues tunes. Includes graded exercises, illustrated tips, plus standard notation and tablature.

    He's warm, cuddly, great to hold and pet-- and simply a lot of fun.But watch out! Your adorable ball of fur can be a doggone handful. Given half the chance, he may take it upon himself to eat your furniture, terrorize the kids, dig up the garden, jump on your friends, and eliminate at the most inappropriate times.Let's face it, sometimes what you get raising a puppy can be a "dog's breakfast"-- a mixed bag of happiness and hassle. In order to make it through puppyhood with your sanity still in tact, you need to enroll your pup in Puppy Preschool.Here, in Puppy Preschool, John Ross and Barbara McKinney, the country's foremost dog-training experts, reveal the benefits of early training in this definitive guide devoted exclusively to the trials and triumphs of puppy rearing. Puppy Preschool rewrites the rules on puppy training. While previous training books begin their programs when the puppy has already reached four months of age, Puppy Preschool begins educating and disciplining at just eight weeks old, the time when most puppies are brought into their new homes. Using surefire, revolutionary techniques, Ross and McKinney provide a much-needed head start on good behavior. They offer essential training rules that will be useful throughout your puppy's formative education, including information on:* The right breed for your family or your lifestyle* The ten best breeds for the home* Early leash and collar procedures* Housebreaking* Preventing unwanted chewing* Health and grooming tips* Emergency care* Essential puppy-training equipment and safe, fun toys* A breakdown of puppy development from birth to eighteen months* The best ways for small children to interact with puppiesdn0Based on the same training philosophy presented in their classic book, Dog Talk, of raising your dog from a "canine point of view," Ross and McKinney give easy-to-follow training techniques that will make puppy rearing a great experience for everyone involved.

    In this book, John Prine curates a selection of his best loved songs. Included are lyrics, guitar chords, commentary from John and over 100 photographs - may never before published - from his personal collection. John Prine has written songs that have become central to the American musical heritage. This former Maywood, Illinois mailman came to prominence with his debut record, 'John Prine' in 1971, which includes classics like, "Angel from Montgomery," "Sam Stone," "Paradise," and "Hello in There." His lyrics speak to the everyday experience of ordinary people, with a simple honesty and an extraordinary ability to connect with the heart.

    So it's not surprising that we persist in thinking that we're in with a chance, whether we're playing the lottery or working out the likelihood of extra-terrestrial life. In Chance, a (not entirely) random selection of the New Scientist's sharpest minds provide fascinating insights into luck, randomness, risk and probability. From the secrets of coincidence to placing the perfect bet, the science of random number generation to the surprisingly haphazard decisions of criminal juries, it will explore these, and many other, tantalising questions.Following on from the bestselling Nothing and Question Everything, this book will open your eyes to the weird and wonderful world of chance - and help you see when some things, in fact, aren't random at all.

    This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way. You’ll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results