It explores the critical concepts while also examining why they are relevant. The core content is presented within the framework of predicting products, proposing mechanisms, and solving synthesis problems. Readers will fine-tune the key skills involved in solving those types of problems with the help of interactive, step-by-step instructions and problems.

    Theory and practice in the design of data graphics, 250 illustrations of the best (and a few of the worst) statistical graphics, with detailed analysis of how to display data for precise, effective, quick analysis. Design of the high-resolution displays, small multiples. Editing and improving graphics. The data-ink ratio. Time-series, relational graphics, data maps, multivariate designs. Detection of graphical deception: design variation vs. data variation. Sources of deception. Aesthetics and data graphical displays. This is the second edition of The Visual Display of Quantitative Information. Recently published, this new edition provides excellent color reproductions of the many graphics of William Playfair, adds color to other images, and includes all the changes and corrections accumulated during 17 printings of the first edition.

    I want a baby but not in that crazy, desperate way where I cringe whenever I see someone else with one, or I think nasty, evil thoughts about people who are pregnant, but a child of my own would complete my life and make my husband extremely happy.Jay-Jay Feeney has been married to Dom Harvey since 2004. She always imagined they'd get married, have children, grow old. But so far, things haven't worked out quite as she expected. A high-profile job, an unpredictable family life, and medical procedures and emergencies have kept her on her toes. Here is Jay-Jay's story, told with a mix of brutal honesty and humor, in which she charts the highs and lows of life lived both in the public gaze and in the shadow of infertility.

    In a world that is overflowing with man's traditions, that often put a dark cloud over God's truth, you will be astonished by the answers that now await you concerning the mysteries of death.

    The calculus is not a hard subject and I prove this through an easy to read and obvious approach spanning only 100 pages. I have written this book with the following type of student in mind; the non-traditional student returning to college after a long break, a notoriously weak student in math who just needs to get past calculus to obtain a degree, and the garage tinkerer who wishes to understand a little more about the technical subjects. This book is meant to address the many fundamental thought-blocks that keep the average 'mathaphobe' (or just an interested person who doesn't have the time to enroll in a course) from excelling in mathematics in a clear and concise manner. It is my sincerest hope that this book helps you with your needs.Show more Show less

    We are living in an age where data comes in abundance, and thanks to the self-learning algorithms from the field of machine learning, we can turn this data into knowledge. Automated speech recognition on our smart phones, web search engines, e-mail spam filters, the recommendation systems of our favorite movie streaming services – machine learning makes it all possible.Thanks to the many powerful open-source libraries that have been developed in recent years, machine learning is now right at our fingertips. Python provides the perfect environment to build machine learning systems productively.This book will teach you the fundamentals of machine learning and how to utilize these in real-world applications using Python. Step-by-step, you will expand your skill set with the best practices for transforming raw data into useful information, developing learning algorithms efficiently, and evaluating results.You will discover the different problem categories that machine learning can solve and explore how to classify objects, predict continuous outcomes with regression analysis, and find hidden structures in data via clustering. You will build your own machine learning system for sentiment analysis and finally, learn how to embed your model into a web app to share with the world

    Baseball Prospectus 2013 brings together an elite group of analysts to provide the definitive look at the upcoming season in critical essays and commentary on the thirty teams, their managers, and more than sixty players and prospects from each team.Contains critical essays on each of the thirty teams and player comments for some sixty players for each of those teamsProjects each player's stats for the coming season using the groundbreaking PECOTA projection system, which has been called "perhaps the game's most accurate projection model" (Sports Illustrated)From Baseball Prospectus, America's leading provider of statistical analysis for baseballNow in its eighteenth edition, this New York Times bestselling insider's guide remains hands down the most authoritative and entertaining book of its kind.

    The applications and computations in operations research are emphasized. Significantly revised, this text streamlines the coverage of the theory, applications, and computations of operations research. Numerical examples are effectively used to explain complex mathematical concepts. A separate chapter of fully analyzed applications aptly demonstrates the diverse use of OR. The popular commercial and tutorial software AMPL, Excel, Excel Solver, and Tora are used throughout the book to solve practical problems and to test theoretical concepts. New materials include Markov chains, TSP heuristics, new LP models, and a totally new simplex-based approach to LP sensitivity analysis.