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 book covers four major topics in field experimentation:

    It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you'll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. It's ideal for analysts new to Python and for Python programmers new to scientific computing.Use the IPython interactive shell as your primary development environmentLearn basic and advanced NumPy (Numerical Python) featuresGet started with data analysis tools in the pandas libraryUse high-performance tools to load, clean, transform, merge, and reshape dataCreate scatter plots and static or interactive visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsMeasure data by points in time, whether it's specific instances, fixed periods, or intervalsLearn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples

     into their ideal job   Each year tens of thousands of students will, after years of hard work and enormous amounts of money, earn their Ph.D. And each year only a small percentage of them will land a job that justifies and rewards their investment. For every comfortably tenured professor or well-paid former academic, there are countless underpaid and overworked adjuncts, and many more who simply give up in frustration.   Those who do make it share an important asset that separates them from the pack: they have a plan. They understand exactly what they need to do to set themselves up for success.  They know what really moves the needle in academic job searches, how to avoid the all-too-common mistakes that sink so many of their peers, and how to decide when to point their Ph.D. toward other, non-academic options.   Karen Kelsky has made it her mission to help readers join the select few who get the most out of their Ph.D. As a former tenured professor and department head who oversaw numerous academic job searches, she knows from experience exactly what gets an academic applicant a job. And as the creator of the popular and widely respected advice site The Professor is In, she has helped countless Ph.D.’s turn themselves into stronger applicants and land their dream careers.   Now, for the first time ever, Karen has poured all her best advice into a single handy guide that addresses the most important issues facing any Ph.D., including:   -When, where, and what to publish -Writing a foolproof grant application -Cultivating references and crafting the perfect CV -Acing the job talk and campus interview -Avoiding the adjunct trap -Making the leap to nonacademic work, when the time is right  The Professor Is In addresses all of these issues, and many more.

    Building on their experience as professional systems analysts and award-winning teachers, authors Dennis, Wixom, and Roth capture the experience of developing and analyzing systems in a way that students can understand and apply.With Systems Analysis and Design, 4th edition , students will leave the course with experience that is a rich foundation for further work as a systems analyst.

    This book focuses on practical algorithms that have been used to solve key problems in data mining and which can be used on even the largest datasets. It begins with a discussion of the map-reduce framework, an important tool for parallelizing algorithms automatically. The authors explain the tricks of locality-sensitive hashing and stream processing algorithms for mining data that arrives too fast for exhaustive processing. The PageRank idea and related tricks for organizing the Web are covered next. Other chapters cover the problems of finding frequent itemsets and clustering. The final chapters cover two applications: recommendation systems and Web advertising, each vital in e-commerce. Written by two authorities in database and Web technologies, this book is essential reading for students and practitioners alike.

    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.

    Framed with both humor and compassion, the book defines the top ten characteristics that illuminate the minds and hearts of children with autism. Ellen's personal experiences as a parent, an autism columnist, and a contributor to numerous parenting magazines coalesce to create a guide for all who come in contact with a child on the autism spectrum. Don't buy just one of this book- buy one for everyone who interacts with your child! Give the gift of understanding. Helpful chapters include:My sensory perceptions are disordered Distinguish between won’t and can’t I am a concrete thinker. I interpret language literally Be patient with my limited vocabulary Because language is so difficult for me, I am very visually oriented Focus and build on what I can do rather than what I can’t do Help me with social interactions Identify what triggers my meltdowns

    Several versions of Pearson's MyLab & Mastering products exist for each title, including customized versions for individual schools, and registrations are not transferable. In addition, you may need a CourseID, provided by your instructor, to register for and use Pearson's MyLab & Mastering products. Packages Access codes for Pearson's MyLab & Mastering products may not be included when purchasing or renting from companies other than Pearson; check with the seller before completing your purchase. Used or rental books If you rent or purchase a used book with an access code, the access code may have been redeemed previously and you may have to purchase a new access code. Access codes Access codes that are purchased from sellers other than Pearson carry a higher risk of being either the wrong ISBN or a previously redeemed code. Check with the seller prior to purchase. -- Normal 0 false false false EN-US X-NONE X-NONE This access code card gives you access to all of MyPsychLab's tools and resources, including a complete eText of your book. You can also buy immediate access to MyPsychLab with Pearson eText online with a credit card at www.mypsychlab.com. "Choice, Awareness, Responsibility" "Human Sexuality, Third Edition," helps students develop and design their own sexual philosophy. Every chapter begins with actual student questions from the author's files during nearly 20 years of teaching the human sexuality course. Throughout each chapter the questions are answered and new ones are posed--encouraging students to think critically, analyze, and apply the material in personally relevant ways. Hock takes a psychosocial approach, infused with biological foundations throughout the text. The book focuses on topics that are most critical and of greatest relevance to students' personal lives and their interactions with others, and on how these topics affect them emotionally, psychologically, and interpersonally. This student-centered approach is incorporated into the text's discussions of all areas of sexuality: psychological, social and biological (including medical issues, sexual health, sexual anatomy and sexual physiology). Sensitivity to diverse groups, not only in terms of race and ethnicity, but also in terms if sexual orientation, age, sexual knowledge, and sexual experience allows all students to feel as comfortable and open about sexual topics as possible. Teaching & Learning Experience"Personalize Learning "The new MyPsychLab delivers proven results in helping students succeed, provides engaging experiences that personalize learning, and comes from a trusted partner with educational expertise and a deep commitment to helping students and instructors achieve their goals."Improve Critical Thinking" With features like Evaluating Sexual Research and Sexuality, Ethics, and the Law "Human Sexuality "encourages students to be critical and skeptical when confronted with sexuality research and information."Engage Students " An interpersonal approach and focus on helping students develop their own sexual philosophy connects course material to their real life decisions and behaviors."Explore Research" The most up-to-date, scientific research is included."Apply Your Knowledge " opportunities like self-tests and scenario-driven questions throughout the text give students a chance to think more deeply about the content presented and help them to relate the material to their own lives."Support Instructors "- An instructor s manual, Test Bank, MyTest, PowerPoints, teaching films, and class response systems provide instructors with the ultimate supplements package. "

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    Written in uncommonly engaging, lucid, and elegant prose, this text is an understand-it-yourself, do-it-yourself manual designed to help research students in any discipline understand the fundamental structure of quality research and the methodical process that leads to genuinely significant results. It guides the reader, step-by-step, from the selection of a problem to study, through the process of conducting authentic research, to the preparation of a completed report, with practical suggestions based on a solid theoretical framework and sound pedagogy. Suited for the core text in any introductory research course or even for self-instruction, this text will show students two things: 1) that quality research demands planning and design; and, 2) how their own research projects can be executed effectively and professionally.

    The controversial book linking intelligence to class and race in modern society, and what public policy can do to mitigate socioeconomic differences in IQ, birth rate, crime, fertility, welfare, and poverty.

    It's packed with everything you need to do your best on the test--and move toward your graduate or business school degree.Only ETS can show you exactly what to expect on the test, tell you precisely how the test is scored, and give you hundreds of authentic test questions for practice That makes this guide your most reliable and accurate source for everything you need to know about the GRE revised General Test.No other guide to the GRE revised General Test gives you: Four complete, real tests--two in the book and two on CD-ROM Hundreds of authentic test questions--so you can study with the real thing In-depth descriptions of the Verbal Reasoning and Quantitative Reasoning measures plus valuable tips for answering each question type Detailed overview of the two types of Analytical Writing essay tasks including scored sample responses and actual raters' comments Everything you need to know about the test, straight from the test makers

    The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. *NEW-Nontechnical learning material-Accompanies each part of the book. *NEW-The Internet as a sample application for intelligent systems-Added in several places including logical agents, planning, and natural language. *NEW-Increased coverage of material - Includes expanded coverage of: default reasoning and truth maintenance systems, including multi-agent/distributed AI and game theory; probabilistic approaches to learning including EM; more detailed descriptions of probabilistic inference algorithms. *NEW-Updated and expanded exercises-75% of the exercises are revised, with 100 new exercises. *NEW-On-line Java software. *Makes it easy for students to do projects on the web using intelligent agents. *A unified, agent-based approach to AI-Organizes the material around the task of building intelligent agents. *Comprehensive, up-to-date coverage-Includes a unified view of the field organized around the rational decision making pa

    Using the comprehensive ABC model of crisis intervention, this counseling text keeps you up-to-date on the latest information regarding crises. Case examples and scripts that show "what to actually say" provide you with actual examples of dialogue with the client illustrating the ABC model. Tables that outline key points such as history of crisis intervention, contributions, suicide assessment, and death and dying issues provide you with a framework in which to assess the client.