Christensen says outstanding companies can do everything right and still lose their market leadership -- or worse, disappear completely. And he not only proves what he says, he tells others how to avoid a similar fate.Focusing on "disruptive technology" -- the Honda Super Cub, Intel's 8088 processor, or the hydraulic excavator, for example -- Christensen shows why most companies miss "the next great wave." Whether in electronics or retailing, a successful company with established products will get pushed aside unless managers know when to abandon traditional business practices. Using the lessons of successes and failures from leading companies, "The Innovator's Dilemma" presents a set of rules for capitalizing on the phenomenon of disruptive innovation.

    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in a world that is defined by a rapid rate of change, staying on the cutting edge has as much to do with shedding outdated notions as adopting new ones.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.

    Explore computer buildings (datacenters), the flat rocks we live on (tectonic plates), the things you use to steer a plane (airliner cockpit controls), and the little bags of water you're made of (cells).

    But power is not merely shifting and dispersing. It is also decaying. Those in power today are more constrained in what they can do with it and more at risk of losing it than ever before. In The End of Power, award-winning columnist and former Foreign Policy editor Moisés Naím illuminates the struggle between once-dominant megaplayers and the new micropowers challenging them in every field of human endeavor. Drawing on provocative, original research, Naím shows how the antiestablishment drive of micropowers can topple tyrants, dislodge monopolies, and open remarkable new opportunities, but it can also lead to chaos and paralysis. Naím deftly covers the seismic changes underway in business, religion, education, within families, and in all matters of war and peace. Examples abound in all walks of life: In 1977, eighty-nine countries were ruled by autocrats while today more than half the world's population lives in democracies. CEO's are more constrained and have shorter tenures than their predecessors. Modern tools of war, cheaper and more accessible, make it possible for groups like Hezbollah to afford their own drones. In the second half of 2010, the top ten hedge funds earned more than the world's largest six banks combined. Those in power retain it by erecting powerful barriers to keep challengers at bay. Today, insurgent forces dismantle those barriers more quickly and easily than ever, only to find that they themselves become vulnerable in the process. Accessible and captivating, Naím offers a revolutionary look at the inevitable end of power—and how it will change your world.

    Beneath all the enormously different styles of modern electronic music lie certain fundamentals of the musical language that are exactly the same no matter what kind of music you write. It is very important to acquire an understanding of these fundamentals if you are to develop as a musician and music producer. Put simply, you need to know what you are doing with regard to the music that you are writing. Music Theory for Computer Musicians explains these music theory fundamentals in the most simple and accessible way possible. Concepts are taught using the MIDI keyboard environment and today's computer composing and recording software. By reading this book and following the exercises contained within it, you, the aspiring music producer/computer musician, will find yourself making great progress toward understanding and using these fundamentals of the music language. The result will be a great improvement in your ability to write and produce your own original music

    How Buildings Learn is a masterful new synthesis that proposes that buildings adapt best when constantly refined and reshaped by their occupants, and that architects can mature from being artists of space to becoming artists of time. From the connected farmhouses of New England to I.M. Pei's Media Lab, from "satisficing" to "form follows funding," from the evolution of bungalows to the invention of Santa Fe Style, from Low Road military surplus buildings to a High Road English classic like Chatsworth—this is a far-ranging survey of unexplored essential territory.More than any other human artifacts, buildings improve with time—if they're allowed to. How Buildings Learn shows how to work with time rather than against it.

    On both economic and psychological grounds, author Matthew B. Crawford questions the educational imperative of turning everyone into a "knowledge worker," based on a misguided separation of thinking from doing. Using his own experience as an electrician and mechanic, Crawford presents a wonderfully articulated call for self-reliance and a moving reflection on how we can live concretely in an ever more abstract world.

    New topics include managing and maintaining cellular devices, including tablets; configuring operating systems, including Windows 8, Android, and iOS; and enhanced, mobile-centered security and troubleshooting procedures. The All-in-One Exam Guide enables you to take the test with complete confidence. It also serves as a practical reference for IT support and technical personnel. Bonus electronic content includes: Practice exams with hundreds of accurate questions More than an hour of video training featuring Mike Meyers Performance-based simulations that prepare you for the performance-based questions on the exam A collection of Mike's favorite free PC tools Key Features include: Written with the “in the trenches” voice and clarity Mike Meyers is known for Features pre-assessment tests, exam tips, and “Try This!” sections to reinforce difficult topics Includes a coupon for 10% off of the exam fee, a $37 value

    Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications.Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives when interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications. The only necessary mathematical background is familiarity with elementary concepts of probability.The book is divided into three parts. Part I defines the reinforcement learning problem in terms of Markov decision processes. Part II provides basic solution methods: dynamic programming, Monte Carlo methods, and temporal-difference learning. Part III presents a unified view of the solution methods and incorporates artificial neural networks, eligibility traces, and planning; the two final chapters present case studies and consider the future of reinforcement learning.

    Programming courses usually start with theory, but this book lets you jump right into creative and fun projects. It's ideal for anyone who wants to learn basic programming, and serves as a simple introduction to graphics for people with some programming skills.Written by the founders of Processing, this book takes you through the learning process one step at a time to help you grasp core programming concepts. You'll learn how to sketch with code -- creating a program with one a line of code, observing the result, and then adding to it. Join the thousands of hobbyists, students, and professionals who have discovered this free and educational community platform.Quickly learn programming basics, from variables to objectsUnderstand the fundamentals of computer graphicsGet acquainted with the Processing software development environmentCreate interactive graphics with easy-to-follow projectsUse the Arduino open source prototyping platform to control your Processing graphics

    However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation. Similarly, new models based on kernels have had a significant impact on both algorithms and applications. This new textbook reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners, and assumes no previous knowledge of pattern recognition or machine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

    Kai-Fu Lee—one of the world’s most respected experts on AI and China—reveals that China has suddenly caught up to the US at an astonishingly rapid and unexpected pace.In AI Superpowers, Kai-Fu Lee argues powerfully that because of these unprecedented developments in AI, dramatic changes will be happening much sooner than many of us expected. Indeed, as the US-Sino AI competition begins to heat up, Lee urges the US and China to both accept and to embrace the great responsibilities that come with significant technological power.Most experts already say that AI will have a devastating impact on blue-collar jobs. But Lee predicts that Chinese and American AI will have a strong impact on white-collar jobs as well. Is universal basic income the solution? In Lee’s opinion, probably not.  But he provides a clear description of which jobs will be affected and how soon, which jobs can be enhanced with AI, and most importantly, how we can provide solutions to some of the most profound changes in human history that are coming soon.

    The various paths are made clear by a concentration on the major works and turningpoints in the music of our time: the new rhythmic force that came in with The Rite of Spring, the unbounded universe of Schoenberg's atonality, the undreamed-of possibilities opened up by electronics, the role of chance in the music of John Cage and the astonishing diversity of minimalism.

    How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more.For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions.And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal—and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.

    Students need to know how writers’ and speakers’ choices are shaped by elements of the rhetorical situation, including audience, occasion, and purpose. In Teaching Arguments: Rhetorical Comprehension, Critique, and Response , Jennifer Fletcher provides teachers with engaging classroom activities, writing prompts, graphic organizers, and student samples to help students at all levels read, write, listen, speak, and think rhetorically. Fletcher believes that, with appropriate scaffolding and encouragement, all students can learn a rhetorical approach to argument and gain access to rigorous academic content. Teaching Arguments opens the door and helps them pay closer attention to the acts of meaning around them, to notice persuasive strategies that might not be apparent at first glance. When we analyze and develop arguments, we have to consider more than just the printed words on the page. We have to evaluate multiple perspectives; the tension between belief and doubt; the interplay of reason, character, and emotion; the dynamics of occasion, audience, and purpose; and how our own identities shape what we read and write. Rhetoric teaches us how to do these things. Teaching Arguments will help students learn to move beyond a superficial response to texts so they can analyze and craft sophisticated, persuasive arguments—a major cornerstone for being not just college-and career-ready but ready for the challenges of the world.