This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    Ideal for processing large datasets, the Apache Hadoop framework is an open source implementation of the MapReduce algorithm on which Google built its empire. This comprehensive resource demonstrates how to use Hadoop to build reliable, scalable, distributed systems: programmers will find details for analyzing large datasets, and administrators will learn how to set up and run Hadoop clusters. Complete with case studies that illustrate how Hadoop solves specific problems, this book helps you:Use the Hadoop Distributed File System (HDFS) for storing large datasets, and run distributed computations over those datasets using MapReduce Become familiar with Hadoop's data and I/O building blocks for compression, data integrity, serialization, and persistence Discover common pitfalls and advanced features for writing real-world MapReduce programs Design, build, and administer a dedicated Hadoop cluster, or run Hadoop in the cloud Use Pig, a high-level query language for large-scale data processing Take advantage of HBase, Hadoop's database for structured and semi-structured data Learn ZooKeeper, a toolkit of coordination primitives for building distributed systems If you have lots of data -- whether it's gigabytes or petabytes -- Hadoop is the perfect solution. Hadoop: The Definitive Guide is the most thorough book available on the subject. "Now you have the opportunity to learn about Hadoop from a master-not only of the technology, but also of common sense and plain talk." -- Doug Cutting, Hadoop Founder, Yahoo!

    At long last you'll be united with the programming language you've been longing for: Clojure!As a Lisp-style functional programming language, Clojure lets you write robust and elegant code, and because it runs on the Java Virtual Machine, you can take advantage of the vast Java ecosystem. Clojure for the Brave and True offers a "dessert-first" approach: you'll start playing with real programs immediately, as you steadily acclimate to the abstract but powerful features of Lisp and functional programming. Inside you'll find an offbeat, practical guide to Clojure, filled with quirky sample programs that catch cheese thieves and track glittery vampires.Learn how to: Wield Clojure's core functions Use Emacs for Clojure development Write macros to modify Clojure itself Use Clojure's tools to simplify concurrency and parallel programmingClojure for the Brave and True assumes no prior experience with Clojure, the Java Virtual Machine, or functional programming. Are you ready, brave reader, to meet your true destiny? Grab your best pair of parentheses—you're about to embark on an epic journey into the world of Clojure!

    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.

    For Portland-based baker Ken Forkish, well-made bread is more than just a pleasure—it is a passion that has led him to create some of the best and most critically lauded breads and pizzas in the country. In Flour Water Salt Yeast, Forkish translates his obsessively honed craft into scores of recipes for rustic boules and Neapolitan-style pizzas, all suited for the home baker. Forkish developed and tested all of the recipes in his home oven, and his impeccable formulas and clear instructions result in top-quality artisan breads and pizzas that stand up against those sold in the best bakeries anywhere. Whether you’re a total beginner or a serious baker, Flour Water Salt Yeast has a recipe that suits your skill level and time constraints: Start with a straight dough and have fresh bread ready by supper time, or explore pre-ferments with a bread that uses biga or poolish. If you’re ready to take your baking to the next level, follow Forkish’s step-by-step guide to making a levain starter with only flour and water, and be amazed by the delicious complexity of your naturally leavened bread. Pizza lovers can experiment with a variety of doughs and sauces to create the perfect pie using either a pizza stone or a cast-iron skillet. Flour Water Salt Yeast is more than just a collection of recipes for amazing bread and pizza—it offers a complete baking education, with a thorough yet accessible explanation of the tools and techniques that set artisan bread apart. Featuring a tutorial on baker’s percentages, advice for manipulating ingredients ratios to create custom doughs, tips for adapting bread baking schedules to fit your day-to-day life, and an entire chapter that demystifies the levain-making process, Flour Water Salt Yeast is an indispensable resource for bakers who want to make their daily bread exceptional bread.

    More importantly, this book provides a framework for thinking about computer organization and design that will enable the reader to continue the lifetime of learning necessary for staying at the forefront of this competitive discipline. --John Crawford Intel Fellow Director of Microprocessor Architecture, Intel The performance of software systems is dramatically affected by how well software designers understand the basic hardware technologies at work in a system. Similarly, hardware designers must understand the far reaching effects their design decisions have on software applications. For readers in either category, this classic introduction to the field provides a deep look into the computer. It demonstrates the relationship between the software and hardware and focuses on the foundational concepts that are the basis for current computer design. Using a distinctive learning by evolution approach the authors present each idea from its first principles, guiding readers through a series of worked examples that incrementally add more complex instructions until they ha

    

    Includes discussion of practice techniques, chassis set-up, and working with your pit chief.

    How To is a guide to the third kind of approach. It's full of highly impractical advice for everything from landing a plane to digging a hole.Bestselling author and cartoonist Randall Munroe explains how to predict the weather by analyzing the pixels of your Facebook photos. He teaches you how to tell if you're a baby boomer or a 90's kid by measuring the radioactivity of your teeth. He offers tips for taking a selfie with a telescope, crossing a river by boiling it, and powering your house by destroying the fabric of space-time. And if you want to get rid of the book once you're done with it, he walks you through your options for proper disposal, including dissolving it in the ocean, converting it to a vapor, using tectonic plates to subduct it into the Earth's mantle, or launching it into the Sun.By exploring the most complicated ways to do simple tasks, Munroe doesn't just make things difficult for himself and his readers. As he did so brilliantly in What If?, Munroe invites us to explore the most absurd reaches of the possible. Full of clever infographics and amusing illustrations, How To is a delightfully mind-bending way to better understand the science and technology underlying the things we do every day.

    Readers will learn the fundamentals of gardening--from what, when and how to plant--presented with options for container gardening, raised-bed gardening, traditional gardening and even covert gardening where they blend edible plants into their flowerbeds. The authors will draw from their real-life experiences as they teach readers how to keep bees, chickens and even goats in their backyards while still keeping the peace with their neighbors and their municipalities. Seventy-five recipes will show readers how to turn the eggs, honey, beeswax, goat milk and plants they harvest in to natural skin care products and non-toxic cleaning products. Readers will also find plenty of ideas for cute handmade gifts for family and friends. Finally, in true homesteading fashion, readers will find advice on how to build community in their neighborhood with babysitting co-ops, meal co-ops and barter systems.

    A twenty-eight year old — and not widely famous — Christopher Wren was giving a lecture on astronomy. As his audience listened to him speak, they decided that it would be a good idea to create a Society to promote the accumulation of useful knowledge.With that, the Royal Society was born. Since its birth, the Royal Society has pioneered scientific exploration and discovery. Isaac Newton, Charles Darwin, Albert Einstein, Robert Hooke, Robert Boyle, Joseph Banks, Humphry Davy, Isambard Kingdom Brunel, John Locke, Alexander Fleming — all were fellows.Bill Bryson’s favourite fellow was Reverend Thomas Bayes, a brilliant mathematician who devised Bayes’ theorem. Its complexity meant that it had little practical use in Bayes’ own lifetime, but today his theorem is used for weather forecasting, astrophysics and stock market analysis. A milestone in mathematical history, it only exists because the Royal Society decided to preserve it — just in case. The Royal Society continues to do today what it set out to do all those years ago. Its members have split the atom, discovered the double helix, the electron, the computer and the World Wide Web. Truly international in its outlook, it has created modern science.Seeing Further celebrates its momentous history and achievements, bringing together the very best of science writing. Filled with illustrations of treasures from the Society’s archives, this is a unique, ground-breaking and beautiful volume, and a suitable reflection of the immense achievements of science.

    It could forever change how you experience and interact with your physical surroundings, open your eyes to the perversity of bad design and the desirability of good design, and raise your expectations about how things should be designed.B & W photographs and illustrations throughout.

    The first edition of this book, Programming Perl, hit the shelves in 1990, and was quickly adopted as the undisputed bible of the language. Since then, Perl has grown with the times, and so has this book.Programming Perl is not just a book about Perl. It is also a unique introduction to the language and its culture, as one might expect only from its authors. Larry Wall is the inventor of Perl, and provides a unique perspective on the evolution of Perl and its future direction. Tom Christiansen was one of the first champions of the language, and lives and breathes the complexities of Perl internals as few other mortals do. Jon Orwant is the editor of The Perl Journal, which has brought together the Perl community as a common forum for new developments in Perl.Any Perl book can show the syntax of Perl's functions, but only this one is a comprehensive guide to all the nooks and crannies of the language. Any Perl book can explain typeglobs, pseudohashes, and closures, but only this one shows how they really work. Any Perl book can say that my is faster than local, but only this one explains why. Any Perl book can have a title, but only this book is affectionately known by all Perl programmers as "The Camel."This third edition of Programming Perl has been expanded to cover version 5.6 of this maturing language. New topics include threading, the compiler, Unicode, and other new features that have been added since the previous edition.

    In the past, discoveries often had to wait for the rise of the next generation to see questions in a new light and let go of old truisms. Today, in a world that is defined by a rapid rate of change, staying on the cutting edge has as much to do with shedding outdated notions as adopting new ones. In this spirit, John Brockman, publisher of the online salon Edge.org ("the world's smartest website"—The Guardian), asked 175 of the world's most influential scientists, economists, artists, and philosophers: What scientific idea is ready for retirement?Jared Diamond explores the diverse ways that new ideas emerge * Nassim Nicholas Taleb takes down the standard deviation * Richard Thaler and novelist Ian McEwan reveal the usefulness of "bad" ideas * Steven Pinker dismantles the working theory of human behavior * Richard Dawkins renounces essentialism * Sherry Turkle reevaluates our expectations of artificial intelligence * Physicist Andrei Linde suggests that our universe and its laws may not be as unique as we think * Martin Rees explains why scientific understanding is a limitless goal * Alan Guth rethinks the origins of the universe * Sam Harris argues that our definition of science is too narrow * Nobel Prize winner Frank Wilczek disputes the division between mind and matter * Lawrence Krauss challenges the notion that the laws of physics were preordained * plus contributions from Daniel Goleman, Mihaly Csikszentmihalyi, Nicholas Carr, Rebecca Newberger Goldstein, Matt Ridley, Stewart Brand, Sean Carroll, Daniel C. Dennett, Helen Fisher, Douglas Rushkoff, Lee Smolin, Kevin Kelly, Freeman Dyson, and others.

    You'll get in-depth coverage of the C language and function libraries as well as all the newest C features, including restricted pointers, inline functions, variable-length arrays, and complex math. This jam-packed resource includes hundreds of examples and sample applications.