At roughly 44-pages, this Introduction to the Paleo lifestyle is a brief, easy-to-read, and informative resource to help you rolling right away.Abel James, host of the wildly-popular Fat-Burning Man Show, covers a brief history of the natural human diet, paleo fitness, meal ideas, 9 delicious recipes, a shopping list, and a complete paleo-in-a-page resource to get you started (or back on track) right away.Take a look at “Paleo in a Page” if you’re in a hurry to get started.Learn where the concept of Paleo came from and where it’s going.See why you don’t need to buy expensive supplements, miracle fat loss potions, or do endless hours of cardio to lose weight and improve your health.Find out principles that spur fat loss by supercharging your metabolism and muscle growth.Eating less and exercising more is not necessary. A calorie is not a calorie. You do not need to tether yourself to a treadmill. When you embrace the Paleo lifestyle, you can be lean and enjoy life. It’s a piece of (gluten-free) cake.

    An interesting and reader friendly writing style makes for a clear presentation, complete with all the necessary assumptions and mathematical details. Chapter topics include probability concepts and applications, decision models and decision trees, regression models, forecasting, inventory control models, linear programming modeling applications and computer analyses, network models, project management, simulation modeling, and more. For an introduction toquantitative analysis, quantitative management, operations research, or management science-especially for those individuals preparing for work in agricultural economics and health care fields.

    This book introduces you to the Fundamental Theorem of Poker, its implications, and how it should affect your play. Other chapters discuss the value of deception, bluffing, raising, the slow-play, the value of position, psychology, heads-up play, game theory, implied odds, the free card, and semibluffing. Many of today's top poker players will tell you that this is the book that really made a difference in their play. That is, these are the ideas that separate the experts from the typical players. Those who read and study this book will literally leave behind those who don't, and most serious players wear the covers off their copies. This is the best book ever written on poker.

    Your guide to a higher math score on standardized tests*SATACT(R)ASVABGMAT(R)GRE(R)CBEST(R)PRAXIS I(R)GED(R) And More!Why CliffsNotes?Go with the name you know and trustGet the information you need-fast!About the Contents:IntroductionHow to use this bookOverview of the examsPart I: Basic Skills ReviewArithmetic and Data AnalysisAlgebraPart II: Strategies and PracticeMathematical AbilityQuantitative ComparisonData SufficiencyEach section includes a diagnostic test, explanations of rules, concepts withexamples, practice problems with complete explanations, a review test, and aglossary!Test-Prep Essentials from the Experts at CliffsNotes(R)For more test-prep help, visit CliffsNotes.com(R)*SAT is a registered trademark of the College Board, which was not involved inthe production of, and does not endorse, this product.

    But as anyone who has ever opened up a spreadsheet packed with seemingly infinite lines of data knows, numbers aren't enough: we need to know how to make those numbers talk. In The Model Thinker, social scientist Scott E. Page shows us the mathematical, statistical, and computational models—from linear regression to random walks and far beyond—that can turn anyone into a genius. At the core of the book is Page's "many-model paradigm," which shows the reader how to apply multiple models to organize the data, leading to wiser choices, more accurate predictions, and more robust designs. The Model Thinker provides a toolkit for business people, students, scientists, pollsters, and bloggers to make them better, clearer thinkers, able to leverage data and information to their advantage.

    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.

    It is intended to instruct students on how to manage effectively and efficiently with full comprehension of the legal ramifications of their decisions. Students are shown how to analyze employment law facts using concrete examples of management-related legal dilemmas that do not present clear-cut solutions. The methods of arriving at resolutions are emphasized, so that when the facts of the workplace problem are not quite the same, the student can still reach a good decision based on the legal considerations required by law, which remain relevant.

    High Dynamic Range photography is the process of taking several pictures of a scene at various exposures, then merging them into one file. So the entire photo can look crisp and detailed, from highlights to midtones to shadows—and photographers needn’t sacrifice any part of their image. And the best way to master this exciting technology is with this thorough, easy-to-follow, and visually spectacular guide. No other title does justice to these cutting-edge techniques, which actually take the viewer into worlds far beyond normal photography—sometimes even beyond normal human perception. Ferrell McCollough, a widely respected photographer, pushes the boundaries and inspires others to pursue their artistic vision, too. The amazing results simply can’t be achieved any other way.

    The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to take a hard pass on Knuth's brilliant but impenetrable theories and the dense multi-page proofs you'll find in most textbooks, this is the book for you. This fully-illustrated and engaging guide makes it easy for you to learn how to use algorithms effectively in your own programs.Grokking Algorithms is a disarming take on a core computer science topic. In it, you'll learn how to apply common algorithms to the practical problems you face in day-to-day life as a programmer. You'll start with problems like sorting and searching. As you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression or artificial intelligence. Whether you're writing business software, video games, mobile apps, or system utilities, you'll learn algorithmic techniques for solving problems that you thought were out of your grasp. For example, you'll be able to:Write a spell checker using graph algorithmsUnderstand how data compression works using Huffman codingIdentify problems that take too long to solve with naive algorithms, and attack them with algorithms that give you an approximate answer insteadEach carefully-presented example includes helpful diagrams and fully-annotated code samples in Python. By the end of this book, you will know some of the most widely applicable algorithms as well as how and when to use them.

    So we’ve created a guide that will show you (or a friend or relative who’s just getting started): * How much you need to start investing. * The key steps for building long-term wealth. * Proven ways to find great companies to buy. Understanding these life-changing concepts will get any investor on the path to financial freedom. Built upon our 13 Steps to Investing Foolishly, The Motley Fool Guide to Investing for Beginners includes our top investors’ biggest mistakes, insights into different styles of investing, and much more. Plus, you get 3 great stock picks that we think could make a strong foundation to any portfolio.

    Recalling the tragedies that shaped his life and career—his unsuccessful tenure as Celtics coach,  the devastating loss on 9/11 of his best friend and his brother-in-law and the deep depression that followed—Coach Pitino shares his Rebound Rules, demonstrating how he emerged wiser and rose to new heights with a richer perspective on life and work…and how you can, too.

    It is based on the idea that everyone acts competitively and in his own best interest. With the help of mathematical models, it is possible to anticipate the actions of others in nearly all life's enterprises. This book includes down-to-earth examples and solutions, as well as charts and illustrations designed to help teach the concept. In The Complete Idiot's Guide® to Game Theory, Dr. Edward C. Rosenthal makes it easy to understand game theory with insights into:? The history of the disciple made popular by John Nash, the mathematician dramatized in the film A Beautiful Mind? The role of social behavior and psychology in this amazing discipline? How important game theory has become in our society and why

    An introduction to the different modules is included in each book, together with an explanation of the scoring system used by Cambridge ESOL. The comprehensive section of answers and tapescripts means that the material is ideal for students working partly or entirely on their own. A self-study pack (Student's Book with answers and Audio CD) is also available.

    This hands-on guide shows you how to maintain a successful bar, manage the business aspect of it, and stake your place in your town's nightlife. It provides informative tips on:Understanding the business and laws of owning a bar Developing a business plan Creating a menu, choosing decor, and establishing a theme Stocking up on equipment Choosing and dealing with employees Handling tough customers Controlling expenses, managing inventory, and controlling cash flow Getting the word out about your place Preparing for your grand opening, step-by-step This guide cues you in on how to keep your bar safe and clean, making sure everyone is having fun. It warns you about the pitfalls and no-nos that every owner should avoid. There are also helpful resources, such as contact information for State Alcohol Control Boards and Web sites with valuable information.

    But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like nonparametric curve estimation, bootstrapping, and clas- sification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analyzing data. For some time, statistics research was con- ducted in statistics departments while data mining and machine learning re- search was conducted in computer science departments. Statisticians thought that computer scientists were reinventing the wheel. Computer scientists thought that statistical theory didn't apply to their problems. Things are changing. Statisticians now recognize that computer scientists are making novel contributions while computer scientists now recognize the generality of statistical theory and methodology. Clever data mining algo- rithms are more scalable than statisticians ever thought possible. Formal sta- tistical theory is more pervasive than computer scientists had realized.