The bestselling textbook inorganic chemistry text on the market covers both theoretical and descriptive aspects of the subject, and emphasizes experimental methods, industrial applications, and modern topics.

    It adopts the fairly traditional conception of metaphysics as a subject that deals with the deepest questions that can be raised concerning the fundamental structure ofreality as a whole. The book is divided into six main sections that address the following themes: identity and change, necessity and essence, causation, agency and events, space and time, and universals and particulars. It focuses on contemporary views and issues throughout, rather than on thehistory of metaphysics.

    Unlike other PR texts that steer clear of the cases, the ethical challenges, the how to counsel, and the public relations conundrums that force students to think, this book prepares students to deal with a full range of situations and arrive at effective, ethical solutions that distinguish the practice.

    Arguing that the best way to learn about philosophy is to think about itsquestions directly, Thomas Nagel considers possible solutions to nine problems--knowledge of the world beyond our minds, knowledge of other minds, the mind-body problem, free will, the basis of morality, right and wrong, the nature of death, the meaning of life, and the meaning of words. Althoughhe states his own opinions clearly, Nagel leaves these fundamental questions open, allowing students to entertain other solutions and encouraging them to think for themselves.

    Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

    The addition of Angela Eaton of Texas Tech University brings a fresh tone to her updates of content and pedagogy while retaining the authoritative voice of Carolyn Rude. Some of the text's changes include an update to Chapter 6, "Electronic Editing," and examples about editing Web sites are found throughout the text to support the increased role of online resources in every aspect of communication.

    By presenting basic concepts of economic theory with ideas in modern strategy literature, the book provides an economic lens for viewing the broad sweep of the strategic activities of the firm. The book begins by focusing on the boundaries of the firm and examines competitive strategy from the perspective of industrial organization (IO) economics, particularly Porter's Five Forces. It then explores strategic positioning and dynamics as well as topics associated with internal organization, including personnel economics, organization structure, and strategic fit. Features of the Fourth Edition * Chapters on human resources management, entry, positioning, dynamics, technological change, and organizational structure are substantially revised. * An updated chapter on business history covers the recent dot-com bubble. * Presents economic principles without overemphasizing the math. * Rigorous treatment of organizational topics such as structure and culture enables you to experience the full scope of strategic thinking. * The authors use Porter's Five Forces as a tool for organizing industry analysis, building on the coverage of industrial organization and game theory. The text also considers the Value Net, another tool for organizing industry analysis. * Includes coverage of make or buy decisions (Chapters 2-4) and benefit and cost advantage and sustaining advantage (Chapters 11-13). * Fascinating examples, including many new to this edition, bring the economic models to life. Many of the examples involve businesses outside of the United States.

    Cover topics as terroism, racism, thnic conflict and sexuality. No CD ROM

    

    The book begins with an introduction to the language of statistics and then covers descriptive statistics and inferential statistics. Throughout, the author offers readers:- Difficulty Rating Index for each chapter′s material- Tips for doing and thinking about a statistical technique- Top tens for everything from the best ways to create a graph to the most effective techniques for data collection- Steps that break techniques down into a clear sequence of procedures- SPSS tips for executing each major statistical technique- Practice exercises at the end of each chapter, followed by worked out solutions.The book concludes with a statistical software sampler and a description of the best Internet sites for statistical information and data resources. Readers also have access to a website for downloading data that they can use to practice additional exercises from the book. Students and researchers will appreciate the book′s unhurried pace and thorough, friendly presentation.

    Stewart's Calculus is successful throughout the world because he explains the material in a way that makes sense to a wide variety of readers. His explanations make ideas come alive, and his problems challenge, to reveal the beauty of calculus. Stewart's examples stand out because they are not just models for problem solving or a means of demonstrating techniques--they also encourage readers to develp an analytic view of the subject. This edition includes new problems, examples, and projects.

    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.