Harry Gensler engages students with the basics of logic through practical examples and important arguments both in the history of philosophy and from contemporary philosophy. Using simple and manageable methods for testing arguments, students are led step-by-step to master the complexities of logic.The companion LogiCola instructional program and various teaching aids (including a teacher's manual) are available from the book's website: www.routledge.com/textbooks/gensler_l...

    "Using Econometrics: A Practical Guide "provides readers with a practical introduction that combines single-equation linear regression analysis with real-world examples and exercises. This text also avoids complex matrix algebra and calculus, making it an ideal text for beginners. New problem sets and added support make "Using Econometrics" modern and easier to use.

    This book is intended for use in a one- or two-semester course in environmental science, human ecology, or environmental studies at the college or advanced placement high school level.The goal of this book is to provide an up-to-date, introductory global view of essential themes in environmental science along with emphasis on details and case studies that will help students process and retain the general principles. Because most students who will use this book are freshman or sophomore non-science majors, the authors make the text readable and accessible without technical jargon or a presumption of prior science background. At the same time, enough data and depth are presented to make this book suitable for many upper-division classes and a valuable resource for students who will keep it in their personal libraries after their formal studies are completed.

    The Black Book doesn't include any vocabulary lists, and doesn't advise its readers to rely on math formulas.Instead, The SAT Prep Black Book teaches readers to approach the test the same way that Barrett trains his students. Barrett sees the SAT as a standardized instrument with a specific objective, and reasons that the test must observe certain design guidelines that follow from that unique objective. So this book explains to students how different types of SAT questions are actually written, from the perspective of the College Board: for each question type, Barrett explains the "big secret" of that question type, the rules and patterns that all questions of that type will follow, and, most importantly for readers, exactly how to attack the question type based on the inherent weaknesses of its particular rules and patterns.The book includes over 250 example solutions that demonstrate Barrett's approach against real SAT questions written by the College Board. In order to follow along, students will want a copy of the College Board's book "The Official SAT Study Guide," the source of the questions whose solutions appear in the Black Book.The overall lesson of the SAT Prep Black Book is that the SAT tests very basic concepts in very strange ways, so students should learn the unique habits of the test rather than cramming definitions and formulas. At 330 pages, the book is thorough and detailed in its analysis of the SAT.

    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.

    Mitchell covers the field of machine learning, the study of algorithms that allow computer programs to automatically improve through experience and that automatically infer general laws from specific data.

    Using graphics, checklists, and sample forms, this guide readies you for each step of the process, including selecting the committee, getting acclimated to academic writing, preparing for your oral defense, and publishing your research. New features include:A chapter on ethical considerations Expanded coverage of digital data collection and the Internet More detailed information on conducting the literature review A discussion of how to develop a theoretical or conceptual framework

    Opening with an introductory chapter on how to read philosophy, the book then moves into the basics of writing summaries and analyzing arguments. It provides step-by-step instructions for each phase of the writing process, from formulating a thesis, to creating an outline, to writing a final draft, supplementing this tutorial approach with model essays, outlines, introductions, and conclusions. Skills essential to evaluating arguments, citing sources, avoiding plagiarism, detecting fallacies, and formatting final drafts are dealt with in detail. The final two chapters serve as a reference guide to common mistakes and basic skills in sentence construction, writing style, and word choice. Employing a rulebook format similar to that of the classic Elements of Style (by Strunk, White, and Angell), Lewis Vaughn distills helpful writing advice into simple rules that students can easily remember and apply--and that instructors can refer to when reviewing student papers. These rules cover essay organization, sentence structure, documentation styles, plagiarism, grammar, usage, and more. Written in a clear and engaging style and incorporating samples of student writing, Writing Philosophy is an indispensable resource for virtually any philosophy course.

    Its world-class authors provide guidance on all aspects of Bayesian data analysis and include examples of real statistical analyses, based on their own research, that demonstrate how to solve complicated problems. Changes in the new edition include:Stronger focus on MCMC Revision of the computational advice in Part III New chapters on nonlinear models and decision analysis Several additional applied examples from the authors' recent research Additional chapters on current models for Bayesian data analysis such as nonlinear models, generalized linear mixed models, and more Reorganization of chapters 6 and 7 on model checking and data collectionBayesian computation is currently at a stage where there are many reasonable ways to compute any given posterior distribution. However, the best approach is not always clear ahead of time. Reflecting this, the new edition offers a more pluralistic presentation, giving advice on performing computations from many perspectives while making clear the importance of being aware that there are different ways to implement any given iterative simulation computation. The new approach, additional examples, and updated information make Bayesian Data Analysis an excellent introductory text and a reference that working scientists will use throughout their professional life.

    Includes a comprehensive chapter on stochastic models for digital image processing. Covers aspects of image representation including luminance, color, spatial and temporal properties of vision, and digitization. Explores various image processing techniques. Discusses algorithm development (software/firmware) for image transforms, enhancement, reconstruction, and image coding.

    His aim is to present calculus as the first real encounter with mathematics: it is the place to learn how logical reasoning combined with fundamental concepts can be developed into a rigorous mathematical theory rather than a bunch of tools and techniques learned by rote. Since analysis is a subject students traditionally find difficult to grasp, Spivak provides leisurely explanations, a profusion of examples, a wide range of exercises and plenty of illustrations in an easy-going approach that enlightens difficult concepts and rewards effort. Calculus will continue to be regarded as a modern classic, ideal for honours students and mathematics majors, who seek an alternative to doorstop textbooks on calculus, and the more formidable introductions to real analysis.

    "Psychology Applied to Teaching "takes complex psychological theories demonstrates how they apply to the everyday experiences of in-service teachers. The Eleventh Edition combines fresh concepts and contemporary research with long standing theory and applications to create a textbook that speaks to today' s teachers and students."New! "Chapter 9: Social Cognitive Theory has been added in response to reviewer suggestions and the many recent developments in cognitive research. No other educational psychology book currently offers a separate chapter on this topic."New! ""Take a Stand!" features give the author an opportunity to spotlight issues such as inclusion, school violence, or high-stakes testing, and encourages debate on critical issues in education. Also accessible on the textbook web site with additional resources and pedagogy and in the Eduspace course with online chats."New! "Coverage of key national standards including PRAXIS and INTASC has been added and referenced throughout the text. A convenient correlation table highlighting text coverage is located on the inside covers for students and professors, with additional suggestions for instructor use in the IRM."Case in Print" exercises in every chapter use recent news articles to demonstrate how basic ideas or techniques are being applied by educators from the primary grades through high school. Each article is followed by several open-ended questions to encourage reflection. This feature can also be found on the textbook Web site."Suggestions for Teaching in YourClassroom" sections include detailed descriptions of how to apply the information and concepts discussed in the chapter to the classroom. These features are intended to be read while the book is used as a text and to serve as a reference for in-service teachers later on.Journal entries help students to prepare and use a Reflective Journal. Entries appear in the margins of the text and encourage readers to consider their own personality, style, and teaching situation in establishing personal guidelines for teaching. A guide for setting up a Reflective Journal is included in Chapter 16--students can use their journals as a reference before and during their teaching experience.Eduspace is a customizable, powerful Interactive platform that provides instructors with text-specific online courses and content in multiple disciplines. Eduspace gives an instructor the ability to create all or part of their course online using the widely recognized tools of Blackboard and quality text-specific content from HMCo. Instructors can quickly and easily assign homework exercises, quizzes, tests, tutorials and supplemental study materials and can modify that content or even add their own.

    Includes many examples and figures. GENERAL TOPOLOGY. Set Theory and Logic. Topological Spaces and Continuous Functions. Connectedness and Compactness. Countability and Separation Axioms. The Tychonoff Theorem. Metrization Theorems and paracompactness. Complete Metric Spaces and Function Spaces. Baire Spaces and Dimension Theory. ALGEBRAIC TOPOLOGY. The Fundamental Group. Separation Theorems. The Seifert-van Kampen Theorem. Classification of Surfaces. Classification of Covering Spaces. Applications to Group Theory. For anyone needing a basic, thorough, introduction to general and algebraic topology and its applications.

    Tips, quizzes, and checklists help girls understand and express what's happening to their bodies--and their feelings about it.

    Carefully structured to cover relevant information in a manageable format and in a presentation that is interesting and contemporary, renowned author Larry J. Siegel continues to incorporate his hallmark balanced and unbiased presentation of theory, policy, high-interest examples, and cutting-edge and seminal research. This market-leading brief Criminology text is also the best value for your students CRIMINOLOGY: THE CORE, Second Edition now includes the most student-friendly and useful technology package available, including a FREE Student CD-ROM and robust Companion Web Site.