This text is user-focused and has been highly updated including topics, pictures and examples. The Williams text contains less theory and more application to engage students who might be more familiar with technology. Continually published and updated for over 15 years, Using Information Technology was the first text to foresee and define the impact of digital convergence--the fusion of computers and communications. It was also the first text to acknowledge the new priorities imposed by the Internet and World Wide Web and bring discussion of them from late in the course to the beginning. Today, it is directed toward the "Always On" generation that is at ease with digital technology--comfortable with iPhones, MySpace, Facebook, Twitter, Wikipedia, and the blogosphere--but not always savvy about its processes, possibilities, and liabilities. This 8th edition continues to address the two most significant challenges that instructors face in teaching this course: -Trying to make the course interesting and challenging, and -Trying to teach to students with a variety of computer backgrounds. In addition, this text correlates with Simnet Online for full integration of resources within the Computing Concepts course.

    Tennessee schoolteacher John Scopes brought the question of teaching evolution in schools to every dinner table, and it remains an essential topic in any course on American History, the History of Education, and Religious History. This volume’s lively interpretative introduction provides an analysis of the trial and its impact on the moral fiber of the country and the educational system, and examines the race and gender issues that shook out of the debate. The editor has excerpted the crucial exchanges from the trial transcript itself, and includes these along with reactions to the trial, taken from newspaper reports, letters, and magazine articles. Telling political cartoons and evocative photographs add a colorful dimension to this collection, while a chronology of events, questions for consideration, and a bibliography provide strong pedagogical support.

    They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot locomotion, and their use is spreading rapidly. People who know the methods have their choice of rewarding jobs. This hands-on text opens these opportunities to computer science students with modest mathematical backgrounds. It is designed for final-year undergraduates and master's students with limited background in linear algebra and calculus. Comprehensive and coherent, it develops everything from basic reasoning to advanced techniques within the framework of graphical models. Students learn more than a menu of techniques, they develop analytical and problem-solving skills that equip them for the real world. Numerous examples and exercises, both computer based and theoretical, are included in every chapter. Resources for students and instructors, including a MATLAB toolbox, are available online.

    This book synthesizes these recent advances and makes them accessible to first-year graduate students. James Hamilton provides the first adequate text-book treatments of important innovations such as vector autoregressions, generalized method of moments, the economic and statistical consequences of unit roots, time-varying variances, and nonlinear time series models. In addition, he presents basic tools for analyzing dynamic systems (including linear representations, autocovariance generating functions, spectral analysis, and the Kalman filter) in a way that integrates economic theory with the practical difficulties of analyzing and interpreting real-world data. Time Series Analysis fills an important need for a textbook that integrates economic theory, econometrics, and new results.The book is intended to provide students and researchers with a self-contained survey of time series analysis. It starts from first principles and should be readily accessible to any beginning graduate student, while it is also intended to serve as a reference book for researchers.-- "Journal of Economics"

    It covers areas such as fundamentals, logic, counting, relations and digraphs, trees, topics in graph theory, languages and finite-state machines, and groups and coding.

    It encompasses lucid descriptions of behaviour, evolutionary history, development, proximate mechanisms and applications.

    It is the technology behind photo tagging systems at Facebook and Google, self-driving cars, speech recognition systems on your smartphone, and much more.In particular, Deep learning excels at solving machine perception problems: understanding the content of image data, video data, or sound data. Here's a simple example: say you have a large collection of images, and that you want tags associated with each image, for example, "dog," "cat," etc. Deep learning can allow you to create a system that understands how to map such tags to images, learning only from examples. This system can then be applied to new images, automating the task of photo tagging. A deep learning model only has to be fed examples of a task to start generating useful results on new data.

    This streamlined book is an excellent review for the larger text and an ideal primary text for health professions courses with brief coverage of anatomy.This edition features new full-color surface anatomy photographs and new diagnostic images. A new design makes the book visually appealing and easier to navigate.Accompanying the book is an Online Student Resource Center, which includes interactive clinical cases, USMLE-style review questions, and more.

    Students will find concepts easy-to-understand through the clear writing style and full-color figures that illustrate current technology and trends. Examples and cases are drawn from actual systems projects that enable students to learn in the context of solving problems, much like the ones they will encounter on the job. This approach, combined with motivating tools such as the SCR Associates interactive Web-Based Case Study, Systems Analyst's Toolkit, the Student Study Tool on CD-ROM, and more, makes Systems Analysis and Design, Seventh Edition a wise and exciting choice for your introductory systems analysis and design class.

    If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination.You'll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Muller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book.With this book, you'll learn:Fundamental concepts and applications of machine learningAdvantages and shortcomings of widely used machine learning algorithmsHow to represent data processed by machine learning, including which data aspects to focus onAdvanced methods for model evaluation and parameter tuningThe concept of pipelines for chaining models and encapsulating your workflowMethods for working with text data, including text-specific processing techniquesSuggestions for improving your machine learning and data science skills

    In an instructive and conversational tone, Cody clearly explains how to program SAS, illustrating with one or more real-life examples and giving a detailed description of how the program works.

    The most up-to-date and beautifully illustrated text on the market, it has a strong molecular and cellular approach, firmly relating the molecular and cellular biological underpinnings of physiology to the study of human physiology and disease. Contributions from leading physiologists ensure authoritative, cutting-edge information, and thorough and consistent editing have produced a readable and student-friendly text.The smart way to study!Elsevier titles with STUDENT CONSULT will help you master difficult concepts and study more efficiently in print and online! Perform rapid searches. Integrate bonus content from other disciplines. Download text to your handheld device. And a lot more. Each STUDENT CONSULT title comes with full text online, a unique image library, case studies, USMLE style questions, and online note-taking to enhance your learning experience.

    Hansen, PhD. Using this interactive coloring workbook, you can trace arteries, veins, and nerves through their courses and bifurcations...reinforce your understanding of muscle origins and insertions from multiple views and dissection layers...and develop a better understanding of the integration of individual organs in the workings of each body system throughout the human form. Online access to Student Consult-where you'll find the complete contents of the book and much more-further enhances your study and exponentially boosts your reference power. Whether you are taking an anatomy course or just curious about how the body works, let the art of Netter guide you!Provides multiple views, magnifications, and dissection layers that strengthen your understanding of 3-D anatomical relationships.Presents each topic in two-page spreads-with Netter anatomical illustrations accompanied by high-yield information-that gives context to the structures.Features illustrations small enough for quick coloring, but large enough to provide you with important details.Offers tips for coloring key structures that emphasize how a coloring exercise can reinforce learning.Uses Key Points to cover functional and clinical relevance and relationships.Contains tables that review muscle attachments, innervation, action, and blood supply.Features Clinical Notes which highlight the importance of anatomy in medicine.Includes online access to Student Consult where you can search the complete contents of the book, print additional copies of the coloring pages, view completed coloring pages for reference, access Integration Links to bonus content in other Student Consult titles...and much more...to further enhance your study and exponentially boost your reference power.

    This book provides an applications-oriented introduction to multivariate data analysis for the non-statistician, by focusing on the fundamental concepts that affect the use of specific techniques.

    The clarity and eloquence of the presentation make it popular with teachers and students alike. The text aims to expand the reader's view of the field and to present standard material in a novel way. All of the most important topics in the field are covered with a fresh perspective, including iterative methods for systems of equations and eigenvalue problems and the underlying principles of conditioning and stability. Presentation is in the form of 40 lectures, which each focus on one or two central ideas. The unity between topics is emphasized throughout, with no risk of getting lost in details and technicalities. The book breaks with tradition by beginning with the QR factorization - an important and fresh idea for students, and the thread that connects most of the algorithms of numerical linear algebra.