The author's conversational writing style presents the politics and science of economic theories to tomorrow's decision-makers.

    It discusses neuroanatomy, cell and molecular mechanisms and signaling through a cognitive approach to behaviour. It features an expanded treatment of the nervous system, neurological and psychiatric diseases and perception.

    Integrating classic and contemporary research, the text also includes comprehensive coverage of social cognition and evolutionary psychology, and features authoritative material on social psychology and the law. For this edition, Saul Kassin and Steven Fein welcome Hazel Rose Markus to the author team. As a leader and respected researcher in the study of cultural psychology, Markus has made significant contributions from her area of expertise to every chapter of this new edition.

    Molecular Cell Biology stands out from its peers in this course in that it provides a clear introduction to the techniques and experiments of scientists past and present, not just an "encyclopedia" of information.  This experimental emphasis, together with a solid pedagogical framework in the chapters, provides the clearest, most cutting-edge text available.

    It takes a fairly traditional approach, emphasizing problem solving, design, and programming as the core skills of computer science. However, these ideas are illustrated using a non-traditional language, namely Python. Although I use Python as the language, teaching Python is not the main point of this book. Rather, Python is used to illustrate fundamental principles of design and programming that apply in any language or computing environment. In some places, I have purposely avoided certain Python features and idioms that are not generally found in other languages. There are already many good books about Python on the market; this book is intended as an introduction to computing. Features include the following: *Extensive use of computer graphics. *Interesting examples. *Readable prose. *Flexible spiral coverage. *Just-in-time object coverage. *Extensive end-of-chapter problems.

    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.

    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.

    Why? In John McMurry's words: "I have been asked hundreds of times over the past ten years why I wrote this book. I wrote this book because I love writing. I get great pleasure and satisfaction from taking a complicated subject, turning it around until I see it clearly from a new angle, and then explaining it in simple words. I write to explain chemistry to students the way I wish it had been explained to me years ago." Through his lucid writing and ability to show the beauty and logic of organic chemistry, McMurry makes learning enjoyable for students. The highest compliment that can be given to a chemistry book applies to McMurry: It works! Mainstream in level, McMurry's coverage is concise yet doesn't omit any key topics. McMurry blends the traditional functional-group approach with a mechanistic approach. The primary approach, by functional group, begins with the simple and progresses to the more complex so that readers who are not yet versed in the subtleties of mechanisms are first exposed to the "what" of chemistry before beginning to grapple with the "why." Within this primary organization, the author places a heavy emphasis on explaining the fundamental mechanistic similarities. In this edition, McMurry retains his standard-setting features (including his innovative vertical format for explaining reaction mechanisms) while revising his text line-by-line to include hundreds of small but important improvements. For example, the Sixth Edition includes new examples, additional steps in existing examples, new problems, new phrases to clarify the exposition, and a vibrant new art program. In addition, new icons in the text lead students to a variety of new online resources. McMurry's text is in use at hundreds of colleges and universities around the world, from North America, to the United Kingdom and the Pacific Rim.

    "The London, Upton, Stone series has helped over 1,000,000 photography students capture their potential. After a very successful first edition, this second edition returns with the most up-to-date industry knowledge. Modeled after the long-running and widely used "A ""Short Course in Photography, " a brief text which presents the medium entirely in its most updated form.

    The text begins with a discussion of the real number system as a complete ordered field. (Dedekind's construction is now treated in an appendix to Chapter I.) The topological background needed for the development of convergence, continuity, differentiation and integration is provided in Chapter 2. There is a new section on the gamma function, and many new and interesting exercises are included. This text is part of the Walter Rudin Student Series in Advanced Mathematics.

    Now in a new Ninth Edition, this reader-friendly book has been completely revised and improved to ensure that the learning experience is enhanced. It's built on the strength of Irwin's problem-solving methodology, providing readers with a strong foundation as they advance in the field.

    The text converts all programming code into the C++ language.

    Why is glass see-through? What makes elastic stretchy? Why does a paper clip bend? Why does any material look and behave the way it does? These are the sorts of questions that Mark Miodownik a globally-renowned materials scientist has spent his life exploring In this book he examines the materials he encounters in a typical morning, from the steel in his razor and the graphite in his pencil to the foam in his sneakers and the concrete in a nearby skyscraper.

    You'll find complete coverage of all exam objectives, including key topics such as project planning, execution, delivery, closure, and others. CompTIA's Project+ is the foundation-level professional exam in the complex world of project management; certified project managers often choose to go on and obtain their Project Management Professional (PMP) certifications as well Provides complete coverage of all exam objectives for CompTIA's first update to the Project+ exam in six years Covers project planning, execution, delivery, change, control, communication, and closure Demonstrates and reinforces exam preparation with practical examples and real-word scenarios Includes a CD with Sybex test engine, practice exams, electronic flashcards, and a PDF of the book Approach the new Project+ exam with confidence with this in-depth study guide! Reviews

     This new edition has an earlier evolution of object concepts, developed in a way that capitalizes on the power of objects without overwhelming beginning programmers. It includes all new Java 5 topics, including Scanner class, enumerated types, autoboxing, variable length parameter lists, the enhanced for loop, and generic types. This is in depth coverage on GUI applications. This book is appropriate for beginning programmers who want to learn to program with Java as well as experienced programmers who want to add Java to their skill-set.