Illustrations and examples throughout show you how you can apply research to practice. Studying is made easy with a book-specific website that provides you with tutorial quizzes and links to additional related concepts. Outlines, introductions, boxes, chapter endings with main points, review questions and exercises, and internet exercises provide you with the information and practice you need to succeed in this course.

    They are vehicles, a series of hypothetical, self-operating machines that exhibit increasingly intricate if not always successful or civilized behavior. Each of the vehicles in the series incorporates the essential features of all the earlier models and along the way they come to embody aggression, love, logic, manifestations of foresight, concept formation, creative thinking, personality, and free will. In a section of extensive biological notes, Braitenberg locates many elements of his fantasy in current brain research.

    The book has the hallmark features for which Lippincott's Illustrated Reviews volumes are so popular: an outline format, over 600 full-color illustrations, end-of-chapter summaries, review questions, plus an entire section of clinical case studies with full-color illustrations. This edition's medical/clinical focus has been sharpened to provide a high-yield review. Five additional case studies have been included, bringing the total to nineteen. Review questions have been reformatted to comply with USMLE Step 1 style, with clinical vignettes.

    The book covers all of the new CompTIA Security+ 2008 exam objectives and maps to the new Security+ 2008 exam. This updated edition features many all-new topics, including topics new to the CompTIA exams like cross site scripting, SQL injection, rootkits, and virtualization, as well as topics of increasing importance in the industry as a whole, like the latest breeds of attackers, Wi-Fi Protected Access 2, and Microsoft Windows Vista security.

    It is a hands-on guide to learning about the natural environment of California. Subjects covered include California natural history and geology, native plants and animals, California's freshwater resources and ecosystems, forest and rangeland resources, conservation biology, and the effects of global warming on California's natural communities. The Handbook also discusses how to create and use a field notebook, natural resource interpretation, citizen science, and collaborative conservation and serves as the primary text for the California Naturalist Program.

    The authors help students learn key sociological concepts through real research examples related to the dynamic interplay of race, class, gender, and other social variables.

    "Interpersonal Communication, 2e" demonstrates how effective interpersonal communication can make students' lives better. With careful consideration given to the impact of computer-mediated communication, the program reflects the rapid changes of the modern world in which today's students live and interact. The program also helps students understand and build interpersonal skills and choices for their academic, personal, and professional lives.

    Included are step-by-step instructions on how to carry out Bayesian data analyses.Download Link : readbux.com/download?i=0124058884            0124058884 Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan PDF by John Kruschke

    Wolfram lets the world see his work in A New Kind of Science, a gorgeous, 1,280-page tome more than a decade in the making. With patience, insight, and self-confidence to spare, Wolfram outlines a fundamental new way of modeling complex systems. On the frontier of complexity science since he was a boy, Wolfram is a champion of cellular automata--256 "programs" governed by simple nonmathematical rules. He points out that even the most complex equations fail to accurately model biological systems, but the simplest cellular automata can produce results straight out of nature--tree branches, stream eddies, and leopard spots, for instance. The graphics in A New Kind of Science show striking resemblance to the patterns we see in nature every day. Wolfram wrote the book in a distinct style meant to make it easy to read, even for nontechies; a basic familiarity with logic is helpful but not essential. Readers will find themselves swept away by the elegant simplicity of Wolfram's ideas and the accidental artistry of the cellular automaton models. Whether or not Wolfram's revolution ultimately gives us the keys to the universe, his new science is absolutely awe-inspiring. --Therese Littleton

    It is a bridge from the computational courses (such as calculus or differential equations) that students typically encounter in their first year of college to a more abstract outlook. It lays a foundation for more theoretical courses such as topology, analysis and abstract algebra. Although it may be more meaningful to the student who has had some calculus, there is really no prerequisite other than a measure of mathematical maturity. Topics include sets, logic, counting, methods of conditional and non-conditional proof, disproof, induction, relations, functions and infinite cardinality.

    Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy presentation.Each chapter focuses on a specific problem in machine learning, such as classification, prediction, optimization, and recommendation. Using the R programming language, you'll learn how to analyze sample datasets and write simple machine learning algorithms. "Machine Learning for Hackers" is ideal for programmers from any background, including business, government, and academic research.Develop a naive Bayesian classifier to determine if an email is spam, based only on its textUse linear regression to predict the number of page views for the top 1,000 websitesLearn optimization techniques by attempting to break a simple letter cipherCompare and contrast U.S. Senators statistically, based on their voting recordsBuild a "whom to follow" recommendation system from Twitter data

    With an eye-catching design, full-color illustrations, and helpful, practical boxed features that highlight need-to-know information, the new edition of this bestseller continues its tradition of making pharmacology easy to learn and understand.A focus on prioritization identifies key nursing information and helps in preparation for the NCLEX(R) Examination.Presents drugs and their classes as they relate to different parts of the body, facilitating integration of the text with your other nursing courses.Features numerous full-color photos and illustrations pertaining to drug mechanisms of action and step-by-step illustrations depicting key steps in drug administration for various routes, so you can clearly see how drugs work in the body and how to administer medications safely and effectively.Drug Profiles highlight the pharmacokinetics and unique variations of individual drugs.Includes Patient Teaching Tips in each chapter to foster patient compliance and effective drug therapy.Helpful summary boxes are integrated throughout, covering Evidence-Based Practice, Preventing Medication Errors, Laboratory Values Related to Drug Therapy, Cultural Implications, Herbal Therapies, Life Span Considerations, Points to Remember, and Legal and Ethical Principles.Illustrated Study Skills Tips in each unit cover study tips, time management, and test taking strategies related specifically to nursing pharmacology.Includes a convenient tear-out IV Compatibilities Chart that alerts you to drugs that are incompatible when given intravenously.Evolve Student Resources include online access to additional chapter-specific NCLEX(R) review questions, animations, medication errors checklists, IV therapy checklists, printable handouts with need-to-know information about key drug classes, calculators, an audio glossary, answers to case studies and critical thinking activities in the text, frequently asked questions, content updates, nursing care plans covering key drug classes, and online appendices. Critical Thinking Activities and Best Action Questions focus on prioritization, challenging you to determine the best action to take.NCLEX(R) Examination Review Questions now include Alternate-Item Format questions, preparing you for these new types of questions found on the NCLEX(R) exam.New case studies have been added, and all cases now include patient photos along with accompanying questions to provoke critical thinking.Pharmacokinetic Bridges to the Nursing Process sections now cover ACE inhibitors, iron, and women's health issues applying key pharmacokinetics information to nursing practice.

    Written from a computer science perspective by three leading experts in the field, it gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Although originally designed as the primary text for a graduate or advanced undergraduate course in information retrieval, the book will also create a buzz for researchers and professionals alike.

    Loosely based on neuron behavior inside of human brains, these systems are rapidly catching up with the intelligence of their human creators, defeating the world champion Go player, achieving superhuman performance on video games, driving cars, translating languages, and sometimes even helping law enforcement fight crime. Deep Learning is a revolution that is changing every industry across the globe.Grokking Deep Learning is the perfect place to begin your deep learning journey. Rather than just learn the “black box” API of some library or framework, you will actually understand how to build these algorithms completely from scratch. You will understand how Deep Learning is able to learn at levels greater than humans. You will be able to understand the “brain” behind state-of-the-art Artificial Intelligence. Furthermore, unlike other courses that assume advanced knowledge of Calculus and leverage complex mathematical notation, if you’re a Python hacker who passed high-school algebra, you’re ready to go. And at the end, you’ll even build an A.I. that will learn to defeat you in a classic Atari game.

    From the book, you learn why the field is important, both as a branch of engineering and as a science. If you are a computer scientist or an engineer, you will enjoy the book, because it provides a cornucopia of new ideas for representing knowledge, using knowledge, and building practical systems. If you are a psychologist, biologist, linguist, or philosopher, you will enjoy the book because it provides an exciting computational perspective on the mystery of intelligence. The Knowledge You Need This completely rewritten and updated edition of Artificial Intelligence reflects the revolutionary progress made since the previous edition was published. Part I is about representing knowledge and about reasoning methods that make use of knowledge. The material covered includes the semantic-net family of representations, describe and match, generate and test, means-ends analysis, problem reduction, basic search, optimal search, adversarial search, rule chaining, the rete algorithm, frame inheritance, topological sorting, constraint propagation, logic, truth