It features a novel way of teaching interactive designers how to create and improve their designs to incorporate the highest degree of fun. As the book shows, designing for fun is all about making interactive products like games highly entertaining, engaging, and addictive. The book's unique approach of providing a highly visual storyboard approach combined with a narrative on the art and practice of designing for fun is sure to be a hit with game and interactive designers.At first glance A Theory of Fun for Game Design is a book that will truly inspire and challenge game designers to think in new ways; however, its universal message will influence designers from all walks of life. This book captures the real essence of what drives us to seek out products and experiences that are truly fun and entertaining. The author masterfully presents his engaging theory by showing readers how many designs are lacking because they are predictable and not engaging enough. He then explains how great designers use different types of elements in new ways to make designs more fun and compelling. Anyone who is interested in design will enjoy how the book works on two levels--as a quick inspiration guide to game design, or as an informative discussion that details the insightful thinking from a great mind in the game industry.

    By 1993, the computer industry had changed so rapidly the company was on its way to losing $16 billion and IBM was on a watch list for extinction -- victimized by its own lumbering size, an insular corporate culture, and the PC era IBM had itself helped invent.Then Lou Gerstner was brought in to run IBM. Almost everyone watching the rapid demise of this American icon presumed Gerstner had joined IBM to preside over its continued dissolution into a confederation of autonomous business units. This strategy, well underway when he arrived, would have effectively eliminated the corporation that had invented many of the industry's most important technologies.Instead, Gerstner took hold of the company and demanded the managers work together to re-establish IBM's mission as a customer-focused provider of computing solutions. Moving ahead of his critics, Gerstner made the hold decision to keep the company together, slash prices on his core product to keep the company competitive, and almost defiantly announced, "The last thing IBM needs right now is a vision."Who Says Elephants Can't Dance? tells the story of IBM's competitive and cultural transformation. In his own words, Gerstner offers a blow-by-blow account of his arrival at the company and his campaign to rebuild the leadership team and give the workforce a renewed sense of purpose. In the process, Gerstner defined a strategy for the computing giant and remade the ossified culture bred by the company's own success.The first-hand story of an extraordinary turnaround, a unique case study in managing a crisis, and a thoughtful reflection on the computer industry and the principles of leadership, Who Says Elephants Can't Dance? sums up Lou Gerstner's historic business achievement. Taking readers deep into the world of IBM's CEO, Gerstner recounts the high-level meetings and explains the pressure-filled, no-turning-back decisions that had to be made. He also offers his hard-won conclusions about the essence of what makes a great company run.In the history of modern business, many companies have gone from being industry leaders to the verge of extinction. Through the heroic efforts of a new management team, some of those companies have even succeeded in resuscitating themselves and living on in the shadow of their former stature. But only one company has been at the pinnacle of an industry, fallen to near collapse, and then, beyond anyone's expectations, returned to set the agenda. That company is IBM.Lou Gerstener, Jr., served as chairman and chief executive officer of IBM from April 1993 to March 2002, when he retired as CEO. He remained chairman of the board through the end of 2002. Before joining IBM, Mr. Gerstner served for four years as chairman and CEO of RJR Nabisco, Inc. This was preceded by an eleven-year career at the American Express Company, where he was president of the parent company and chairman and CEO of its largest subsidiary. Prior to that, Mr. Gerstner was a director of the management consulting firm of McKinsey & Co., Inc. He received a bachelor's degree in engineering from Dartmouth College and an MBA from Harvard Business School.

    With a blend of software engineering facts and thought-provoking opinions, Fred Brooks offers insight for anyone managing complex projects. These essays draw from his experience as project manager for the IBM System/360 computer family and then for OS/360, its massive software system. Now, 45 years after the initial publication of his book, Brooks has revisited his original ideas and added new thoughts and advice, both for readers already familiar with his work and for readers discovering it for the first time.The added chapters contain (1) a crisp condensation of all the propositions asserted in the original book, including Brooks' central argument in The Mythical Man-Month: that large programming projects suffer management problems different from small ones due to the division of labor; that the conceptual integrity of the product is therefore critical; and that it is difficult but possible to achieve this unity; (2) Brooks' view of these propositions a generation later; (3) a reprint of his classic 1986 paper "No Silver Bullet"; and (4) today's thoughts on the 1986 assertion, "There will be no silver bullet within ten years."

    This book is focused on the details of data analysis that sometimes fall through the cracks in traditional statistics classes and textbooks. It is based in part on the authors blog posts, lecture materials, and tutorials. The author is one of the co-developers of the Johns Hopkins Specialization in Data Science the largest data science program in the world that has enrolled more than 1.76 million people. The book is useful as a companion to introductory courses in data science or data analysis. It is also a useful reference tool for people tasked with reading and critiquing data analyses. It is based on the authors popular open-source guides available through his Github account (https://github.com/jtleek). The paper is also available through Leanpub (https://leanpub.com/datastyle), if the book is purchased on that platform you are entitled to lifetime free updates.

    This is a ride on the Google wave, and the fullest account of how it formed and crashed into traditional media businesses. With unprecedented access to Google's founders and executives, as well as to those in media who are struggling to keep their heads above water, Ken Auletta reveals how the industry is being disrupted and redefined.Auletta goes inside Google's closed-door meetings, introducing Google's notoriously private founders, Larry Page and Sergey Brin, as well as those who work with - and against - them. In Googled, the reader discovers the 'secret sauce' of the company's success and why the worlds of 'new' and 'old' media often communicate as if residents of different planets. It may send chills down traditionalists' spines, but it's a crucial roadmap to the future of media business: the Google story may well be the canary in the coal mine.Googled is candid, objective and authoritative. Crucially, it's not just a history or reportage: it's ahead of the curve and unlike any other Google books, which tend to have been near-histories, somewhat starstruck, now out of date or which fail to look at the full synthesis of business and technology.

    They have also sprouted new and wondrous capabilities at a dizzying pace. This 11th Edition of the all-time bestselling PC guide has been polished and honed to deliver everything you need to know about your twenty-first-century PC -- from what plugs into what to adjusting your monitor to burning DVDs, and much more.Whether you want to go online, install a firewall, live the digital life, or finally get a handle on the whole computer software concept, this fun, plain-English handbook is here to answer all your questions PC questions. You'll find out why Windows Vista is the way to go and how to use it to get everywhere else. And, you'll pick up Web and email tricks and learn about all the new levels of PC security. Discover how to: Set up your PC Use Vista menus Store your stuff on Memory Cards Record live TV Download digital photos Connect to a wireless network Explore the Internet safely Print perfect documents, photos, and more Use your PC as the new hub of your digital worldComplete with helpful hints on how to avoid beginner mistakes, a list of extras and accessories you may want for your PC, and insider tips from a PC guru. PCs for Dummies, 11th Edition is the one PC accessory you can't do without.

    These people are celebrities now. What was it like when they were just a couple friends with an idea? Founders like Steve Wozniak (Apple), Caterina Fake (Flickr), Mitch Kapor (Lotus), Max Levchin (PayPal), and Sabeer Bhatia (Hotmail) tell you in their own words about their surprising and often very funny discoveries as they learned how to build a company.Where did they get the ideas that made them rich? How did they convince investors to back them? What went wrong, and how did they recover?Nearly all technical people have thought of one day starting or working for a startup. For them, this book is the closest you can come to being a fly on the wall at a successful startup, to learn how it's done.But ultimately these interviews are required reading for anyone who wants to understand business, because startups are business reduced to its essence. The reason their founders become rich is that startups do what businesses do--create value--more intensively than almost any other part of the economy. How? What are the secrets that make successful startups so insanely productive? Read this book, and let the founders themselves tell you.

    He then jets forward to the nineteenth century, where systems we can easily recognize as modern bureaucracies come into being. In some areas of life—like with the modern postal systems of Germany and France—these bureaucracies have brought tremendous efficiencies to modern life. But Graeber argues that there is a much darker side to modern bureaucracy that is rarely ever discussed. Indeed, in our own “utopia of rules,” freedom and technological innovation are often the casualties of systems that we only faintly understand.Provocative and timely, the book is a powerful look and history of bureaucracy over the ages and its power in shaping the world of ideas.

    It used to be that to diagnose an illness, interpret legal documents, analyze foreign policy, or write a newspaper article you needed a human being with specific skills—and maybe an advanced degree or two. These days, high-level tasks are increasingly being handled by algorithms that can do precise work not only with speed but also with nuance. These “bots” started with human programming and logic, but now their reach extends beyond what their creators ever expected. In this fascinating, frightening book, Christopher Steiner tells the story of how algorithms took over—and shows why the “bot revolution” is about to spill into every aspect of our lives, often silently, without our knowledge. The May 2010 “Flash Crash” exposed Wall Street’s reliance on trading bots to the tune of a 998-point market drop and $1 trillion in vanished market value. But that was just the beginning. In Automate This, we meet bots that are driving cars, penning haiku, and writing music mistaken for Bach’s. They listen in on our customer service calls and figure out what Iran would do in the event of a nuclear standoff. There are algorithms that can pick out the most cohesive crew of astronauts for a space mission or identify the next Jeremy Lin. Some can even ingest statistics from baseball games and spit out pitch-perfect sports journalism indistinguishable from that produced by humans. The interaction of man and machine can make our lives easier. But what will the world look like when algorithms control our hospitals, our roads, our culture, and our national security? What hap­pens to businesses when we automate judgment and eliminate human instinct? And what role will be left for doctors, lawyers, writers, truck drivers, and many others?  Who knows—maybe there’s a bot learning to do your job this minute.

    Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate data. On the collection side, scanned text and image platforms, satellite remote sensing systems, and the World Wide Web have flooded us with a tremendous amount of data. This explosive growth has generated an even more urgent need for new techniques and automated tools that can help us transform this data into useful information and knowledge.Like the first edition, voted the most popular data mining book by KD Nuggets readers, this book explores concepts and techniques for the discovery of patterns hidden in large data sets, focusing on issues relating to their feasibility, usefulness, effectiveness, and scalability. However, since the publication of the first edition, great progress has been made in the development of new data mining methods, systems, and applications. This new edition substantially enhances the first edition, and new chapters have been added to address recent developments on mining complex types of data- including stream data, sequence data, graph structured data, social network data, and multi-relational data.A comprehensive, practical look at the concepts and techniques you need to know to get the most out of real business dataUpdates that incorporate input from readers, changes in the field, and more material on statistics and machine learningDozens of algorithms and implementation examples, all in easily understood pseudo-code and suitable for use in real-world, large-scale data mining projectsComplete classroom support for instructors at www.mkp.com/datamining2e companion site

     At any given moment, somewhere in the world someone struggles with the same software design problems you have. You know you don't want to reinvent the wheel (or worse, a flat tire), so you look to Design Patterns--the lessons learned by those who've faced the same problems. With Design Patterns, you get to take advantage of the best practices and experience of others, so that you can spend your time on...something else. Something more challenging. Something more complex. Something more fun. You want to learn about the patterns that matter--why to use them, when to use them, how to use them (and when NOT to use them). But you don't just want to see how patterns look in a book, you want to know how they look "in the wild". In their native environment. In other words, in real world applications. You also want to learn how patterns are used in the Java API, and how to exploit Java's built-in pattern support in your own code. You want to learn the real OO design principles and why everything your boss told you about inheritance might be wrong (and what to do instead). You want to learn how those principles will help the next time you're up a creek without a design pattern. Most importantly, you want to learn the "secret language" of Design Patterns so that you can hold your own with your co-worker (and impress cocktail party guests) when he casually mentions his stunningly clever use of Command, Facade, Proxy, and Factory in between sips of a martini. You'll easily counter with your deep understanding of why Singleton isn't as simple as it sounds, how the Factory is so often misunderstood, or on the real relationship between Decorator, Facade and Adapter. With Head First Design Patterns, you'll avoid the embarrassment of thinking Decorator is something from the "Trading Spaces" show. Best of all, in a way that won't put you to sleep! We think your time is too important (and too short) to spend it struggling with academic texts. If you've read a Head First book, you know what to expect--a visually rich format designed for the way your brain works. Using the latest research in neurobiology, cognitive science, and learning theory, Head First Design Patterns will load patterns into your brain in a way that sticks. In a way that lets you put them to work immediately. In a way that makes you better at solving software design problems, and better at speaking the language of patterns with others on your team.

    The Structure of Scientific Revolutions is that kind of book. When it was first published in 1962, it was a landmark event in the history and philosophy of science. Fifty years later, it still has many lessons to teach. With The Structure of Scientific Revolutions, Kuhn challenged long-standing linear notions of scientific progress, arguing that transformative ideas don’t arise from the day-to-day, gradual process of experimentation and data accumulation but that the revolutions in science, those breakthrough moments that disrupt accepted thinking and offer unanticipated ideas, occur outside of “normal science,” as he called it. Though Kuhn was writing when physics ruled the sciences, his ideas on how scientific revolutions bring order to the anomalies that amass over time in research experiments are still instructive in our biotech age. This new edition of Kuhn’s essential work in the history of science includes an insightful introduction by Ian Hacking, which clarifies terms popularized by Kuhn, including paradigm and incommensurability, and applies Kuhn’s ideas to the science of today. Usefully keyed to the separate sections of the book, Hacking’s introduction provides important background information as well as a contemporary context.  Newly designed, with an expanded index, this edition will be eagerly welcomed by the next generation of readers seeking to understand the history of our perspectives on science.

    pThe benefits of our recently arrived-at state of connectivity have been myriad from the ease with which it has been possible to buy a new house to the convenience of borrowing and investing money profitably. But the luxuries of the connected age have taken on a momentum all of their own. By counter-intuitively anatomizing how being overconnected tends to create systems of positive feedback that have largely negative consequences, Davidow explains everything from the recent Subprime mortgage crisis to the meltdown of Iceland, from the loss of people s privacy to the spectacular fall of the stock market. All because we were so miraculously wired together.pExplaining how such symptoms of Internet connection as unforeseeable accidents and how thought contagions acted to accelerate the downfall and make us permanently vulnerable to catastrophe, Davidow places our recent experience in historical perspective and offers a set of practical steps to minimize similar disasters in the future.pWilliam Davidow is a successful Silicon Valley venture capitalist, philanthropist, and author, and as a senior vice-president of Intel Corporation, he was responsible for the design of the Intel microprocessor chip. He has written three previous books Marketing High Technology (The Free Press, 1986) and Total Customer Service (Harper, 1989), both with Bro Uttal, and The Virtual Corporation" (Harper, 1992), with Michael Malone as well as columns for Forbes and numerous op-ed pieces. He graduated from Dartmouth College, has a masters degree from the California Institute of Technology, and a Ph.D. from Stanford University. He serves on the boards of Cal Tech, the California Nature Conservancy, and the Stanford Institute for Economic Policy Research.

    Charles Perrow argues that the conventional engineering approach to ensuring safety--building in more warnings and safeguards--fails because systems complexity makes failures inevitable. He asserts that typical precautions, by adding to complexity, may help create new categories of accidents. (At Chernobyl, tests of a new safety system helped produce the meltdown and subsequent fire.) By recognizing two dimensions of risk--complex versus linear interactions, and tight versus loose coupling--this book provides a powerful framework for analyzing risks and the organizations that insist we run them.The first edition fulfilled one reviewer's prediction that it may mark the beginning of accident research. In the new afterword to this edition Perrow reviews the extensive work on the major accidents of the last fifteen years, including Bhopal, Chernobyl, and the Challenger disaster. The new postscript probes what the author considers to be the quintessential 'Normal Accident' of our time: the Y2K computer problem.

    Now updated for both current developments in OS 10.4 and 10.5, this comprehensive guide to developing Cocoa guides programmers through the key features of Cocoa, and takes them step by step through the creation of typical applications.