A unique combination of authoritative content and stimulating applications. * Numerous improvements in the text, based on feedback from the many users of the sixth edition (both instructors and students) * Several thousand end-of-chapter problems have been rewritten to streamline both the presentations and answers * 'Chapter Puzzlers' open each chapter with an intriguing application or question that is explained or answered in the chapter * Problem-solving tactics are provided to help beginning Physics students solve problems and avoid common error * The first section in every chapter introduces the subject of the chapter by asking and answering, "What is Physics?" as the question pertains to the chapter * Numerous supplements available to aid teachers and students The extended edition provides coverage of developments in Physics in the last 100 years, including: Einstein and Relativity, Bohr and others and Quantum Theory, and the more recent theoretical developments like String Theory.

    Managerial decision making is the underlying theme, topics and applications are presented and organized in a manner that allow students to understand business research topics and functions.

    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.

    It is the ideal solution for the academic setting, multiple-day training, or individuals in need of more extensive food safety training. Food safety has never been more important to the restaurant industry and its customers. Based on the "2013""FDA Food Code, " the "ServSafe Coursebook" focuses on the preventative measures to keep food safe. The content in the "ServSafe Coursebook" goes beyond the principles found in the "ServSafe""Manager Book" and adds greater depth and breadth of food safety practices by featuring expanded sections on food defense, high-risk populations, active managerial control, and crisis management. Food safety topics are presented in a user-friendly, practical way with more real-world case studies and stories to help readers understand the day-to-day importance of food safety. Developed by the industry, for the industry, ServSafe(R) is a proven way to minimize risk and maximize protection for foodservice owners, employees, and customers. Recognized as the industry standard, ServSafe offers a complete suite of printed and online products and is the most important ingredient to food safety training and certification success. The "ServSafe Coursebook" is available packaged with MyServSafeLab(TM). MyServSafeLab is an online homework, tutorial, and assessment program that truly engages students in learning. It helps students better prepare for class, quizzes, and exams-resulting in better performance in the course-and provides educators a dynamic set of tools for gauging individual and class progress. The "ServSafe Coursebook" 6th Edition is available packaged in a number of ways to suit your specific needs. ISBN: 0133883507 is a package containing the book and the answer sheet for the pencil/paper version of the ServSafe Food Protection Manager exam" ServSafe Coursebook with Answer Sheet 6th Edition " Also available: Stand-alone book: "ServSafe Coursebook "6th Edition ISBN: 0133883604A package containing the book, the answer sheet for the pencil/paper version of the ServSafe Food Protection Manager exam, AND MyServSafeLab with Pearson eText Access Card: " ServSafe Coursebook with Answer Sheet, Revised Plus NEW MyServSafeLab with Pearson eText -- Access Card Package, "6/e ISBN: 0133962733A package containing the book and online exam voucher: "ServSafe Coursebook with Online Exam Voucher 6th Edition "ISBN: 0133883515A package containing the book, online exam voucher, AND MyServSafeLab with Pearson eText Access Card: "ServSafe Coursebook with Online Exam Voucher, Revised Plus NEW MyServSafeLab with Pearson eText -- Access Card Package, 6/e "ISBN: 0133962725Students, if interested in purchasing this title with MyServSafeLab, ask your instructor for the correct package ISBN. MyServSafeLab is not a self-paced technology and should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information.

    How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more.For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions.And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal—and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.

    One can trace its roots to the Calculus of Variations and the work of Euler and Lagrange. This natural and reasonable approach to mathematical programming covers numerical methods for finite-dimensional optimization problems. It begins with very simple ideas progressing through more complicated concepts, concentrating on methods for both unconstrained and constrained optimization.

    Therefore, this book provides the fundamental concepts and techniques of real analysis for readers in all of these areas. It helps one develop the ability to think deductively, analyze mathematical situations and extend ideas to a new context. Like the first two editions, this edition maintains the same spirit and user-friendly approach with some streamlined arguments, a few new examples, rearranged topics, and a new chapter on the Generalized Riemann Integral.

    

    Covering various the materials needed by students in engineering, science, and mathematics, this calculus text makes effective use of computing technology, graphics, and applications. It presents at least two technology projects in each chapter.

    The Windows Command Line Beginner's Guide gives users new to the Windows command line an overview of the Command Prompt, from simple tasks to network configuration.In the Guide, you'll learn how to:-Manage the Command Prompt.-Copy & paste from the Windows Command Prompt.-Create batch files.-Remotely manage Windows machines from the command line.-Manage disks, partitions, and volumes.-Set an IP address and configure other network settings.-Set and manage NTFS and file sharing permissions.-Customize and modify the Command Prompt.-Create and manage file shares.-Copy, move, and delete files and directories from the command line.-Manage PDF files and office documents from the command line.-And many other topics.

    This edition, which was prepared by Kip S. Thorne (Feynman Professor of Theoretical Physics at California Institute of Technology), fully incorporates all the errata and corrections gathered (but never used in a published edition) by Feynman.

    Offering time-tested problems, conceptual and visual pedagogy, and a state-of-the-art media package, this 11th edition looks to the future of university physics, in terms of both content and approach.

    A how-to guide to classroom inquiry that takes educators through the research process step by step, answering each critical question from where do I begin? through publishing the results.