If the print book includes a CD-ROM, this content is not included within the eBook version. Prepare to Be Fascinated Why does the flu change every year? What makes glue sticky? What causes out-of-body experiences? Are all brands of gas the same? Will adult stem cells work as well as embryonic stem cells? Is one "horsepower" really equal to the power of one horse? Why can't you sneeze with your eyes open? How much does a cremated body weigh? These are just a few of the fascinating science and health questions real people have asked top science writer and San Diego Union-Tribune columnist Sherry Seethaler. "Curious Folks Ask" brings together 162 of her best answers-all crystal-clear, accurate, quick, and a pleasure to read. Seethaler knows exactly how to cut through jargon, confusion, and myths. She's passionate about sharing what scientists have learned and what they still don't know. She explores everything from our bodies to our best inventions: what makes us healthy, what makes us human, and plenty more. Prepare to be surprised, intrigued, and amazed.

    The Gamer’s Edition is the ultimate guide to videogames, packed full of the most up-to-date news, achievements and developments in the gaming world, illustrated with the best and most exciting imagery from this year’s top titles. Complete with fascinating facts, figures and features on the most popular games, the latest edition also includes gameplay tips and hints, retro facts from classic games, and your favorite characters battling it out against each other in our new "Vs" feature. One of the features we’ve included here brings you the results of our readers' poll of the most visually stunning videogame graphics ever. As game graphics become ever more stylized, fast-moving and impressive, we guide you through a visual feast of the 50 titles you ranked as the very greatest. To participate in the poll for next year’s book, please visit www.guinnessworldrecords.com/gamers. We’d love to hear from you, and you could win yourself a prize!

    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.

    It quickly covers the essentials, and then focuses on the how-to instead of theory. It covers:Fundamental concepts such as circuits, schematics, voltage, safety, and more Tools of the trade, including multimeters, oscilloscopes, logic probes, and more Common electronic components (e.g. resistors, capacitors, transistors) Making circuits using breadboards and printed circuit boards Microcontrollers (implementation and programming) Author Gordon McComb has more than a million copies of his books in print, including his bestselling Robot Builder's Bonanza and VCRs and Camcorders For Dummies. He really connects with readers! With lots of photos and step-by-step explanations, this book will have you connecting electronic components in no time! In fact, it includes fun ideas for great projects you can build in 30 minutes or less. You'll be amazed! Then you can tackle cool robot projects that will amaze your friends! (The book gives you lots to choose from.)Students will find this a great reference and supplement to the typical dry, dull textbook. So whether you just want to bone up on electronics or want to get things hooked up, souped up, or fixed up, ...whether you're interested in fixing old electronic equipment, understanding guitar fuzz amps, or tinkering with robots, Electronics For Dummies is your quick connection to the stuff you need to know.

    And how to move all of this data becomes nearly as important as the data itself. If you� re an application architect, developer, or production engineer new to Apache Kafka, this practical guide shows you how to use this open source streaming platform to handle real-time data feeds.Engineers from Confluent and LinkedIn who are responsible for developing Kafka explain how to deploy production Kafka clusters, write reliable event-driven microservices, and build scalable stream-processing applications with this platform. Through detailed examples, you� ll learn Kafka� s design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the controller, and the storage layer.Understand publish-subscribe messaging and how it fits in the big data ecosystem.Explore Kafka producers and consumers for writing and reading messagesUnderstand Kafka patterns and use-case requirements to ensure reliable data deliveryGet best practices for building data pipelines and applications with KafkaManage Kafka in production, and learn to perform monitoring, tuning, and maintenance tasksLearn the most critical metrics among Kafka� s operational measurementsExplore how Kafka� s stream delivery capabilities make it a perfect source for stream processing systems

    . . and then broke? How would you survive? Could you improve on humanity's original timeline? And how hard would it be to domesticate a giant wombat? With this book as your guide, you'll survive--and thrive--in any period in Earth's history. Bestselling author and time-travel enthusiast Ryan North shows you how to invent all the modern conveniences we take for granted--from first principles. This illustrated manual contains all the science, engineering, art, philosophy, facts, and figures required for even the most clueless time traveler to build a civilization from the ground up. Deeply researched, irreverent, and significantly more fun than being eaten by a saber-toothed tiger, How to Invent Everything will make you smarter, more competent, and completely prepared to become the most important and influential person ever.

    We often overlook the historical link between mathematics and technological advances, says Stewart—but this connection is integral to any complete understanding of human history.Equations are modeled on the patterns we find in the world around us, says Stewart, and it is through equations that we are able to make sense of, and in turn influence, our world. Stewart locates the origins of each equation he presents—from Pythagoras's Theorem to Newton's Law of Gravity to Einstein's Theory of Relativity—within a particular historical moment, elucidating the development of mathematical and philosophical thought necessary for each equation's discovery. None of these equations emerged in a vacuum, Stewart shows; each drew, in some way, on past equations and the thinking of the day. In turn, all of these equations paved the way for major developments in mathematics, science, philosophy, and technology. Without logarithms (invented in the early 17th century by John Napier and improved by Henry Briggs), scientists would not have been able to calculate the movement of the planets, and mathematicians would not have been able to develop fractal geometry. The Wave Equation is one of the most important equations in physics, and is crucial for engineers studying the vibrations in vehicles and the response of buildings to earthquakes. And the equation at the heart of Information Theory, devised by Claude Shannon, is the basis of digital communication today.An approachable and informative guide to the equations upon which nearly every aspect of scientific and mathematical understanding depends, In Pursuit of the Unknown is also a reminder that equations have profoundly influenced our thinking and continue to make possible many of the advances that we take for granted.

    But the state-of-the-art has moved forward dramatically since Meyers last updated this book in 1997. (For instance, there s now STL. Design patterns. Even new functionality being added through TR1 and Boost.) So Meyers has done a top-to-bottom rewrite, identifying the 55 most valuable techniques you need now to be exceptionally effective with C++. Over half of this edition s content is new. Templates broadly impact C++ development, and you ll find them everywhere. There s extensive coverage of multithreaded systems. There s an entirely new chapter on resource management. You ll find substantial new coverage of exceptions. Much is gained, but nothing s lost: You ll find the same depth of practical insight that first made Effective C++ a classic all those years ago. Bill Camarda, from the July 2005 href="http://www.barnesandnoble.com/newslet... Only

    It guides you through every step of writing your own music, from choosing the right rhythm and tempo to creating melodies and chord progressions and working with instruments and voices. In this fun and practical guide, you'll learn how to match keys and chords to the mood you want to convey, work a form without limiting your creativity, and hammer out a musical idea, even when your mind is drawing a blank. You'll find out how to create popular songs, classically structured pieces, and even film, TV, and video game soundtracks. And, you'll learn what you need to know about music composition software, including Finale, Sebelius, Pro Tools, and more. Discover how to:Preserve and organize your musical ideas Work with established chord progressions or create your own Develop great rhythms Select the right instruments Find melodies in your head, your instrument, and the world around you Use major and minor scales Work with modes and moods Build melodic motifs and phrases Use the circle of fifths to harmonize Write for multiple voices Make a demo recording Filled with creative exercises to build your composing skills, Music Composition for Dummies is the resource you need to get that melody out of your head and into the world.

    Mitchell covers the field of machine learning, the study of algorithms that allow computer programs to automatically improve through experience and that automatically infer general laws from specific data.

    For the first time, these books are available as a boxed, three-volume set. The handsome slipcase makes this set an ideal gift for the recent computer science graduate or professional programmer. Offering a description of classical computer science, this multi-volume work is a useful resource in programming theory and practice for students, researchers, and practitioners alike. For programmers, it offers cookbook solutions to their day-to-day problems.

    An astonishing collection." —Publishers Weekly Mix hundreds of thousands of LEGO bricks with dozens of artists, and what do you get? Beautiful LEGO, a compendium of LEGO artwork that showcases a stunning array of pieces ranging from incredibly lifelike replicas of everyday objects and famous monuments to imaginative renderings of spaceships, mansions, and mythical creatures. You'll also meet the minds behind the art. Interviews with the artists take you inside the creative process that turns simple, plastic bricks into remarkable LEGO masterpieces.

    Since reptiles are cold-blooded creatures, most humans don't instinctively understand their requirements the way they understand the needs of a cat or dog. Herp expert Philippe de Vosjoli and his team of veterinarians and authors seek to make keepers confident in their ability to properly care for their bearded dragons through this most informative book. A key component of caring for bearded dragons, according to the authors, is recognizing that their needs change as they develop. De Vosjoli states in the introduction to the book, "Looking at the life stages of bearded dragons also made [the authors] aware that, like humans, they undergo changes in growth and behavior, which may require the dedicated owner to make adjustments in husbandry (and general care) to meet the needs of each life style." The Bearded Dragon Manual is the first book to present this information that is so critical to the proper maintenance of these very popular reptiles.Colorfully illustrated, The Bearded Dragon Manual provides chapter-length coverage on the following topics: selecting a dragon, making a home for a dragon, heating and lighting, diet and feeding management, and behavior. The feeding chapter, which includes as age-by-age guide to nutrition, was co-written with veterinarian Dr. Susan Donoghue. A chapter on breeding discusses strategies for breeding dragons, requirements, conditioning, incubation, and potential problems encountered. Lizard vet extraordinaire Dr. Roger Klingenberg has written a chapter on recognizing and treating bearded dragon diseases, in which he discusses how to recognize a sick dragon, various internal and external parasites, nutritional disorders as well as kidney disease, prolapses, egg-binding, respiratory infections, and eye problems. The chapter concludes with a four-page chart for troubleshooting health problems. Herb expert Jerry Cole has provided a special chapter on frilled dragons, an agamid similar to the bearded dragon that has attracted many bearded dragon fans. Appendices and index included.

    These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics, and cryptography. This textbook introduces theory in tandem with applications. Information theory is taught alongside practical communication systems, such as arithmetic coding for data compression and sparse-graph codes for error-correction. A toolbox of inference techniques, including message-passing algorithms, Monte Carlo methods, and variational approximations, are developed alongside applications of these tools to clustering, convolutional codes, independent component analysis, and neural networks. The final part of the book describes the state of the art in error-correcting codes, including low-density parity-check codes, turbo codes, and digital fountain codes -- the twenty-first century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, David MacKay's groundbreaking book is ideal for self-learning and for undergraduate or graduate courses. Interludes on crosswords, evolution, and sex provide entertainment along the way. In sum, this is a textbook on information, communication, and coding for a new generation of students, and an unparalleled entry point into these subjects for professionals in areas as diverse as computational biology, financial engineering, and machine learning.

    Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.