The book studies the development of familiar cultural practices from India and around the world and links the regular to the esoteric and explains everything from Game Theory to the Cobra Effect without depending on graphs or equations-a modern-day miracle!Through disarmingly simple prose, the book demystifies economic theories, offers delightful insights, and provides nuance without jargon. Each chapter of this book will give you the tools to meaningfully engage with a subject that has long been considered alienating but is unavoidable in its relevance.

    This edition has been updated to account for recent developments in the field such as: The emergence of mixed methods approaches Increased use of internet research More frequent use of methods such as triangulation and focus groups Developments in research ethics Written for anyone undertaking a small-scale research project, either as part of an academic course or as part of their professional development, this book provides: A clear, straightforward introduction to data collection methods and data analysis Explanations of the key decisions researchers need to take, with practical advice on how to make appropriate decisions Essential checklists to guide good practice This book is perfect for the first-time researcher looking for guidance on the issues they should consider and traps they should avoid when embarking on a social research project.

    The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality.Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data. For each class of models, the text describes the three fundamental cornerstones: representation, inference, and learning, presenting both basic concepts and advanced techniques. Finally, the book considers the use of the proposed framework for causal reasoning and decision making under uncertainty. The main text in each chapter provides the detailed technical development of the key ideas. Most chapters also include boxes with additional material: skill boxes, which describe techniques; case study boxes, which discuss empirical cases related to the approach described in the text, including applications in computer vision, robotics, natural language understanding, and computational biology; and concept boxes, which present significant concepts drawn from the material in the chapter. Instructors (and readers) can group chapters in various combinations, from core topics to more technically advanced material, to suit their particular needs.

    Now with the second edition, readers will find information on key new topics such as neural networks and statistical pattern recognition, the theory of machine learning, and the theory of invariances. Also included are worked examples, comparisons between different methods, extensive graphics, expanded exercises and computer project topics.An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

    After introducing the basic concepts, the book examines techniques for modeling probability density functions and the properties and merits of the multi-layerperceptron and radial basis function network models. Also covered are various forms of error functions, principal algorithms for error function minimalization, learning and generalization in neural networks, and Bayesian techniques and their applications. Designed as a text, with over 100exercises, this fully up-to-date work will benefit anyone involved in the fields of neural computation and pattern recognition.

    Robert Kaplan and Dennis Saccuzzo provide students with a current analysis of the most widely used psychological tests in schools, professional training programs, business, industry, the military, and clinical settings. The authors offer a clear picture of how psychological tests are constructed, how they are used, and how an understanding of them can make a difference in their careers and everyday lives. Comprehensive and accurate, yet interesting and personally relevant, this book gets and keeps students' attention through the use of informal discussions and real-life examples.

    This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way. You’ll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

    Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate data. On the collection side, scanned text and image platforms, satellite remote sensing systems, and the World Wide Web have flooded us with a tremendous amount of data. This explosive growth has generated an even more urgent need for new techniques and automated tools that can help us transform this data into useful information and knowledge.Like the first edition, voted the most popular data mining book by KD Nuggets readers, this book explores concepts and techniques for the discovery of patterns hidden in large data sets, focusing on issues relating to their feasibility, usefulness, effectiveness, and scalability. However, since the publication of the first edition, great progress has been made in the development of new data mining methods, systems, and applications. This new edition substantially enhances the first edition, and new chapters have been added to address recent developments on mining complex types of data- including stream data, sequence data, graph structured data, social network data, and multi-relational data.A comprehensive, practical look at the concepts and techniques you need to know to get the most out of real business dataUpdates that incorporate input from readers, changes in the field, and more material on statistics and machine learningDozens of algorithms and implementation examples, all in easily understood pseudo-code and suitable for use in real-world, large-scale data mining projectsComplete classroom support for instructors at www.mkp.com/datamining2e companion site

    Written by the world’s foremost PowerPivot blogger and practitioner, the book’s concepts and approach are introduced in a simple, step-by-step manner tailored to the learning style of Excel users everywhere. The techniques presented allow users to produce, in hours or even minutes, results that formerly would have taken entire teams weeks or months to produce and include lessons on the difference between calculated columns and measures, how formulas can be reused across reports of completely different shapes, how to merge disjointed sets of data into unified reports, how to make certain columns in a pivot behave as if the pivot were filtered while other columns do not, and how to create time-intelligent calculations in pivot tables such as “Year over Year” and “Moving Averages” whether they use a standard, fiscal, or a complete custom calendar. The “pattern-like” techniques and best practices contained in this book have been developed and refined over two years of onsite training with Excel users around the world, and the key lessons from those seminars costing thousands of dollars per day are now available to within the pages of this easy-to-follow guide.

    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

    Legendary celebrities like Liberace and Phyllis Diller attribute their success to reading the book. “I didn’t get my start until I was 37. It was very, very difficult for me. I had a frequently unemployed husband and a house full of kids. My first advice to anyone is to read The Magic of Believing. It changed my life. Read it and absorb the ideas that he puts forth in the book. You won’t even think of your age or the obstacles in your way; you’ll think of your dream, and how to keep focused on your dream.” - Phyllis DillerThat life-changing book started with the book you’re about to read: T.N.T.—It Rocks the Earth.As Claude Bristol’s business associate wrote: “In T.N.T.—It Rocks the Earth, you are told exactly how to acquire a wonderful secret, that Power, or whatever you wish to call it, which, when accepted and developed through a process of right thinking, creates a philosophy of life which sweeps away all obstacles and brings that which every human desires: success, happiness and contentment.Do exactly as he says, put his plan into operation—and I also promise you that almost over night you will be transformed and the things for which you have wished all your life will be yours. Your fears, trials and tribulations will fade into the mists. The door of yesterday will be closed forever. A grand and glorious feeling will engulf you and you will smile, and when you do, the world will smile with you.I know it. I believe it and it is so.“– Frank W. CampThis 1932 hard-to-find classic will rock YOUR life!

    Known for its complete coverage of concepts and principles along with a more systematic and descriptive treatment of mineralogy, the revised edition now includes a CD-ROM to let readers see the minerals and crystals, while also viewing chemical composition, symmetry, and morphological crystallography.

    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. "

    However, rather than resting on that reputation, the new edition of this text marks a significant advance in the already excellent quality of the book. While preserving concise language, state of the art educational pedagogy, and top-notch worked examples, the Eighth Edition features a unified art design as well as streamlined and carefully reorganized problem sets that enhance the thoughtful instruction for which Raymond A. Serway and John W. Jewett, Jr. earned their reputations. Likewise, PHYSICS FOR SCIENTISTS AND ENGINEERS, will continue to accompany Enhanced WebAssign in the most integrated text-technology offering available today. In an environment where new Physics texts have appeared with challenging and novel means to teach students, this book exceeds all modern standards of education from the most solid foundation in the Physics market today.

    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