Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.Each chapter will cover a different technique in a spreadsheet so you can follow along: - Mathematical optimization, including non-linear programming and genetic algorithms- Clustering via k-means, spherical k-means, and graph modularity- Data mining in graphs, such as outlier detection- Supervised AI through logistic regression, ensemble models, and bag-of-words models- Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation- Moving from spreadsheets into the R programming languageYou get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.

    Globally accepted and written by one of the most foremost authors in the field, this is a necessary read for all managers, human resource workers, and anyone needing to understand and improve their people skills.

    

    Generous support from a number of foundations provided the means for assembling and maintaining an experienced staff to co-operate with members of the Institute's Physics Department in the examination, improvement, and development of physics curriculum materials for students planning careers in the sciences. After careful analysis of objectives and the problems involved, preliminary versions of textbooks were prepared, tested through classroom use at M.I.T. and other institutions, re-evaluated, rewritten, and tried again. Only then were the final manuscripts undertaken.

    Never again will you order the Poisson Distribution in a French restaurant!This updated version features all new material.

    But what happens when this system of adjusting emotions is adapted to commercial purposes? Hochschild examines the cost of this kind of "emotional labor." She vividly describes from a humanist and feminist perspective the process of estrangement from personal feelings and its role as an "occupational hazard" for one-third of America's workforce.

    For each question, there is a concise explanation of how to apply it in the evaluation of research reports.Numerous examples from journals in the social and behavioral sciences illustrate the application of the evaluation questions. Students see actual examples of strong and weak features of published reports.Commonsense models for evaluation combined with a lack of jargon make it possible for students to start evaluating research articles the first week of class.The structure of this book enables students to work with confidence while evaluating articles for homework.Avoids oversimplification in the evaluation process by describing the nuances that may make an article publishable even though it has serious methodological flaws. Students learn when and why certain types of flaws may be tolerated. They learn why evaluation should not be performed mechanically.This book received very high student evaluations when field-tested with students just beginning their study of research methods.Contains more than 60 new examples from recently published research. In addition, minor changes have been made throughout for consistency with the latest edition of the Publication Manual of the American Psychological Association."

    Challenging the reductionist division of people by race, religion, and class, Sen presents an inspiring vision of a world that can be made to move toward peace as firmly as it has spiraled in recent years toward brutality and war.

    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

    

    With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.

    In Through the Labyrinth, Alice Eagly and Linda Carli examine why women's paths to power remain difficult to traverse. First, Eagly and Carli prove that the glass ceiling is no longer a useful metaphor and offer seven reasons why. They propose the labyrinth as a better image and explain how to navigate through it. This important and practical book addresses such critical questions as: How far have women actually come as leaders? Do stereotypes and prejudices still limit women's opportunities? Do people resist women's leadership more than men's? And, do organisations create obstacles to women who would be leaders?This book's rich analysis is founded on scientific research from psychology, economics, sociology, political science, and management. The authors ground their conclusions in that research and invoke a wealth of engaging anecdotes and personal accounts to illustrate the practical principles that emerge. With excellent leadership in short supply, no group, organisation, or nation can afford to restrict women's access to leadership roles. This book evaluates whether such restrictions are present and, when they are, what we can do to eliminate them.

    Emergency Care, 10/E has prepared more students to pass state and/or the National Registry Exam than any other text on the market with well-organized, clearly presented content, thorough coverage of patient assessment, an accessible reading level, high quality artwork, and outstanding skill scans of equipment and procedures. Case studies and practical tips from the field tie chapter concepts to real world applications. Each chapter sends students to the Companion Website where there are links to EMS-related sites. A new in-text CD provides extra information to help students master concepts.

    "Introductory Chemistry, "Fourth Edition extends chemistry from the laboratory to your world, helping you learn chemistry by demonstrating how it is manifested in your daily life. Throughout, the Fourth Edition presents a new student-friendly, step-by-step problem-solving approach that adds four steps to worked examples (Sort, Strategize, Solve, and Check). This proven text continues to foster student success beyond the classroom with MasteringChemistry(R), the most advanced online tutorial and assessment program available. Note: This is the standalone book, if you want the book/access card order the ISBN below: 0321741021 / 9780321741028 Introductory Chemistry Plus MasteringChemistry with eText -- Access Card Package Package consists of: 0321687930 / 9780321687937 Introductory Chemistry 032173002X / 9780321730022 MasteringChemistry with Pearson eText -- Valuepack Access Card -- for Introductory Chemistry

    Now in it's tenth edition, this text makes chemistry exciting to students by showing them why important concepts are relevant to their lives and future careers.