New topics include managing and maintaining cellular devices, including tablets; configuring operating systems, including Windows 8, Android, and iOS; and enhanced, mobile-centered security and troubleshooting procedures. The All-in-One Exam Guide enables you to take the test with complete confidence. It also serves as a practical reference for IT support and technical personnel. Bonus electronic content includes: Practice exams with hundreds of accurate questions More than an hour of video training featuring Mike Meyers Performance-based simulations that prepare you for the performance-based questions on the exam A collection of Mike's favorite free PC tools Key Features include: Written with the “in the trenches” voice and clarity Mike Meyers is known for Features pre-assessment tests, exam tips, and “Try This!” sections to reinforce difficult topics Includes a coupon for 10% off of the exam fee, a $37 value

    This text provides a thorough exposition of the principles of thermodynamics and details their application to chemical processes. The new edition has been updated to reflect the growth in such areas as materials and electrochemicals.

    The eighth edition has been revised to include updated coverage of NMR Spectroscopy and UV spectroscopy. New questions at the end of chapters reinforce the skills and techniques learned. Emphasis is placed on green chemistry in the lab, focusing on the more environmentally friendly materials that can be used. In addition, updated discussions are included on safety, distillation, gas chromatography, and liquid chromatography. This gives organic chemists the most up-to-date information to enhance their lab skills.

    However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation. Similarly, new models based on kernels have had a significant impact on both algorithms and applications. This new textbook reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners, and assumes no previous knowledge of pattern recognition or machine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

    Manufacturing Engineering and Technology describes both time-tested and modern methods of manufacturing engineering materials, and sets the standard for introducing readers to the scope and variety of manufacturing processes.

    A new capstone chapter on personality disorders synthesizes these domains/paradigms. The Fourth Edition adds a new chapter on cognition and the self, new coverage of the Big Five personality traits and of personality in a developmental context, and a new Student Website to enable effective study and review.

    It Combines Comprehensive Medical Content With Dynamic New Features And Interactive Technology To Better Support Instructors And To Help Prepare Students For The Field. An Interactive Skills DVD Is Also Packaged Free With Each Copy Of The Text.

    The book makes clear that applied microeconometrics is about the estimation of marginal and treatment effects, and that parametric estimation is simply a means to this end. It also clarifies the distinction between causality and statistical association. The book focuses specifically on cross section and panel data methods. Population assumptions are stated separately from sampling assumptions, leading to simple statements as well as to important insights. The unified approach to linear and nonlinear models and to cross section and panel data enables straightforward coverage of more advanced methods. The numerous end-of-chapter problems are an important component of the book. Some problems contain important points not fully described in the text, and others cover new ideas that can be analyzed using tools presented in the current and previous chapters. Several problems require the use of the data sets located at the author's website.

    This text is intended for algebra-based introductory physics courses taken primarily by pre-med, agricultural, technology and architectural students.

    This book contains student-friendly Study Tips, Clinical View boxes, and progressive question sets to motivate students to internalize and apply what they've learned.

    Schaefers Sociology: A Brief Introduction provides students with a comprehensive, up-to-date presentation of sociology. Students learn to think critically about society and their own lives from a wide range of classical and contemporary perspectives. Combining balanced coverage of theory with current research findings, examples that students can relate to, and abundant learning aids and exercises, the new edition continues to encourage the development of sociological imagination. Greater coverage of globalization through a new chapter and boxes focusing on Social Change in the Global Community help remove ethnocentric blinders and teaches students to think globally about issues and policies. .

    

    This new edition retains its basic organization. The three approaches - integral, differential, and dimensional analysis - are treated separately, providing the conceptual foundation of fluid mechanics. Chapters on ducts, immersed bodies, potential flow, compressible flow, open channels, and turbomachinery show the major applications of the field. The new edition includes a systematic problem solving methodology for readers to follow. New chapter examples and approximately 250 new chapter problems have been added. The EES (Engineering Equation Solver) software is included, free to users, as a means to model and solve problems on the computer. A new appendix offers a brief review of mathematical tools.

    To illustrate the various theories, and to reveal their implications, important current issues such as abortion, euthanasia, the treatment of nonhuman animals, racial discrimination, and nuclear weapons are discussed in depth.

    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