With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it.Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains:Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm Optimization algorithms that search millions of possible solutions to a problem and choose the best one Bayesian filtering, used in spam filters for classifying documents based on word types and other features Using decision trees not only to make predictions, but to model the way decisions are made Predicting numerical values rather than classifications to build price models Support vector machines to match people in online dating sites Non-negative matrix factorization to find the independent features in a dataset Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details."-- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths."-- Tim Wolters, CTO, Collective Intellect

     The more tools you have at your disposal, the more likely you'll use the right tool for the job — and get it done right. The same is true when it comes to your thinking. The quality of your outcomes depends on the mental models in your head. And most people are going through life with little more than a hammer. Until now. The Great Mental Models: General Thinking Concepts is the first book in The Great Mental Models series designed to upgrade your thinking with the best, most useful and powerful tools so you always have the right one on hand. This volume details nine of the most versatile, all-purpose mental models you can use right away to improve your decision making, productivity, and how clearly you see the world. You will discover what forces govern the universe and how to focus your efforts so you can harness them to your advantage, rather than fight with them or worse yet— ignore them. Upgrade your mental toolbox and get the first volume today!

    Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor.

    Aimed at undergraduate students in mathematics, physics, and engineering, the book's intuitive explanations, lack ofadvanced prerequisites, and consciously user-friendly prose style will help students to master the subject more readily than was previously possible. The key to this is the book's use of new geometric arguments in place of the standard calculational ones. These geometric arguments are communicatedwith the aid of hundreds of diagrams of a standard seldom encountered in mathematical works. A new approach to a classical topic, this work will be of interest to students in mathematics, physics, and engineering, as well as to professionals in these fields.

    And yet, as we well know, it doesn’t come with an owner’s manual—until now. In this unsurpassed resource Dr. Pierce J. Howard and his team distill the very latest research and clearly explain the practical, real-world applications to our daily lives. Drawing from the frontiers of psychology, neurobiology, and cognitive science, yet organized and written for maximum usability, The Owner's Manual for the Brain (4th Edition) is your comprehensive guide to optimum mental performance and wellbeing. It should be on every thinking person’s bookshelf.

    The exposition is simple and leads to the most complete direct means of solving problems in mechanics. The final sections on adiabatic invariants have been revised and augmented. In addition a short biography of L D Landau has been inserted.

    The book s two-part coverage organizes topics under basic theory, and assembles an arsenal of approximation schemes with illustrative applications. For physicists and engineers. "

    You might think the problem is your brain. It seems to have a mind of its own, a mind that doesn't always want to take in the dry, technical stuff you're forced to study. The fact is your brain craves novelty. It's constantly searching, scanning, waiting for something unusual to happen. After all, that's the way it was built to help you stay alive. It takes all the routine, ordinary, dull stuff and filters it to the background so it won't interfere with your brain's real work--recording things that matter. How does your brain know what matters? It's like the creators of the Head First approach say, suppose you're out for a hike and a tiger jumps in front of you, what happens in your brain? Neurons fire. Emotions crank up. Chemicals surge. That's how your brain knows.And that's how your brain will learn Java. Head First Java combines puzzles, strong visuals, mysteries, and soul-searching interviews with famous Java objects to engage you in many different ways. It's fast, it's fun, and it's effective. And, despite its playful appearance, Head First Java is serious stuff: a complete introduction to object-oriented programming and Java. You'll learn everything from the fundamentals to advanced topics, including threads, network sockets, and distributed programming with RMI. And the new. second edition focuses on Java 5.0, the latest version of the Java language and development platform. Because Java 5.0 is a major update to the platform, with deep, code-level changes, even more careful study and implementation is required. So learning the Head First way is more important than ever. If you've read a Head First book, you know what to expect--a visually rich format designed for the way your brain works. If you haven't, you're in for a treat. You'll see why people say it's unlike any other Java book you've ever read.By exploiting how your brain works, Head First Java compresses the time it takes to learn and retain--complex information. Its unique approach not only shows you what you need to know about Java syntax, it teaches you to think like a Java programmer. If you want to be bored, buy some other book. But if you want to understand Java, this book's for you.

    No complex terminology. ★FREE eBook Download inside★ Your dad taught you how to play Chess, but he didn’t teach you much. You already know how to checkmate and move the pieces, but let’s face it, your friends and family still beat you more than you’d like. You don't just want to play. You want to win and possibly CONQUER ALL YOUR FRIENDS! You sly dog! I know the feeling and I’m here to help. My name is Maxen R. Tarafa and I’m a Skill Artist. In a few short months, I went from a struggling post-beginner to an adept intermediate player and doubled my Chess ability by teaching myself. In this book, I show you how you can double, even triple, your Chess ability like I did, but faster. But I’m going to tell you right now. My method is rather controversial. You see, most chess “experts” bombard you with complex Chess notation (QxB6?) and expect you to read complex Chess terminology. I don’t do that. I’ll give you a cheat sheet of what you NEED to remember, and you’ll be off to the Chess boards and killing Queens like it’s nobody’s business. In this book, you learn: -How to play your first 10 moves so YOU control the game (Chess Openings) -How to use 3 techniques (or Chess tactics) like bringing light sabers to a knife fight -How to identify one weakness, if you simply recognize it, you can win in one move -How to cut your training time in ½. Know what to study and apply brainhacking techniques. -How to avoid common beginner mistakes with time-tested Chess strategy -Where to find FREE Chess websites, apps, videos, and technology to double your skills -How to use the one principle I taught to Eduardo that took him from losing miserably to unbeatable -How to “bend” the Chess rules with little-known special moves (it’s not cheating!) -And more I taught a 9-year-old these principles and a week later he was beating 17-year-olds. Anyone, even you, can learn how to double your Chess ability by learning a few easy principles. You’ll even learn how to speed your decision-making and play speed chess. If you’re looking for quick and easy Chess instruction to double your skills, but don’t want to learn complex terminology and notation, this book is for you! Don’t let your friend, brother, dad, or roommate beat you again! Join the Casual Chess revolution! Plain-English Chess Instruction for Casual Players, Post-Beginners, and People who Want to Learn Fast! ★Now Available in Paperback! To buy paperback, scroll up and click the Paperback link (by the cover image)★

    Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

    These themes include mathematical reasoning, combinatorial analysis, discrete structures, algorithmic thinking, and enhanced problem-solving skills through modeling. Its intent is to demonstrate the relevance and practicality of discrete mathematics to all students. The Fifth Edition includes a more thorough and linear presentation of logic, proof types and proof writing, and mathematical reasoning. This enhanced coverage will provide students with a solid understanding of the material as it relates to their immediate field of study and other relevant subjects. The inclusion of applications and examples to key topics has been significantly addressed to add clarity to every subject. True to the Fourth Edition, the text-specific web site supplements the subject matter in meaningful ways, offering additional material for students and instructors. Discrete math is an active subject with new discoveries made every year. The continual growth and updates to the web site reflect the active nature of the topics being discussed. The book is appropriate for a one- or two-term introductory discrete mathematics course to be taken by students in a wide variety of majors, including computer science, mathematics, and engineering. College Algebra is the only explicit prerequisite.

    Sipser's candid, crystal-clear style allows students at every level to understand and enjoy this field. His innovative "proof idea" sections explain profound concepts in plain English. The new edition incorporates many improvements students and professors have suggested over the years, and offers updated, classroom-tested problem sets at the end of each chapter.

    Wayne W. Dyer reveals how to change the self-defeating thinking patterns that have prevented you from living at the highest levels of success, happiness, and health. Even though you may know what to think, actually changing those thinking habits that have been with you since childhood might be somewhat challenging."If I changed, it would create family dramas . . . I’m too old or too young . . . I’m far too busy and tired . . . I can’t afford the things I truly want . . . It would be very difficult for me to do things differently . . . and I’ve always been this way . . ." may all seem to be true, but they’re in fact just excuses. So the business of modifying habituated thinking patterns really comes down to tossing out the same tired old excuses and examining your beliefs in a new and truthful light.In this groundbreaking work, Wayne presents a compendium of conscious and subconscious crutches employed by virtually everyone, along with ways to cast them aside once and for all. You’ll learn to apply specific questions to any excuse, and then proceed through the steps of a new paradigm. The old, habituated ways of thinking will melt away as you experience the absurdity of hanging on to them.You’ll ultimately realize that there are no excuses worth defending, ever, even if they’ve always been part of your life—and the joy of releasing them will resonate throughout your very being. When you eliminate the need to explain your shortcomings or failures, you’ll awaken to the life of your dreams.

    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.

    . . but keep the secret!The Cube is an imagination game—and more—that holds a secret you are dared not to reveal. Last seen making the rounds in the coffeehouses of Eastern Europe, the Cube is rumored to be of ancient Sufi origin, but no one really knows for certain. This mystery game just seems to reappear when and where it is needed. Now it is here! Inside these pages, the game is revealed along with intriguing stories of others who have played the Cube—including such celebrities as Gloria Steinem, Willem Dafoe, Erica Jong, and Judy Collins.So don't be square . . . Get Cubed!