They shared both academic brilliance in math and a geeky awkwardness with women.Eduardo figured their ticket to social acceptance–and sexual success–was getting invited to join one of the university’s Final Clubs, a constellation of elite societies that had groomed generations of the most powerful men in the world and ranked on top of the inflexible hierarchy at Harvard. Mark, with less of an interest in what the campus alpha males thought of him, happened to be a computer genius of the first order.Which he used to find a more direct route to social stardom: one lonely night, Mark hacked into the university's computer system, creating a ratable database of all the female students on campus–and subsequently crashing the university's servers and nearly getting himself kicked out of school. In that moment, in his Harvard dorm room, the framework for Facebook was born.What followed–a real-life adventure filled with slick venture capitalists, stunning women, and six-foot-five-inch identical-twin Olympic rowers–makes for one of the most entertaining and compelling books of the year. Before long, Eduardo’s and Mark’s different ideas about Facebook created in their relationship faint cracks, which soon spiraled into out-and-out warfare. The collegiate exuberance that marked their collaboration fell prey to the adult world of lawyers and money. The great irony is that while Facebook succeeded by bringing people together, its very success tore two best friends apart.The Accidental Billionaires is a compulsively readable story of innocence lost–and of the unusual creation of a company that has revolutionized the way hundreds of millions of people relate to one another.Ben Mezrich, a Harvard graduate, has published ten books, including the New York Times bestseller Bringing Down the House. He is a columnist for Boston Common and a contributor for Flush magazine. Ben lives in Boston with his wife, Tonya.

    Going to a Disney theme park? Your creepy new “MagicBand” will alert Minnie Mouse so she’ll know your kid’s name when you approach her. Thinking about sending your DNA to Ancestry.com for some “genetic genealogy”? Careful: your genetic information could be used against you.

    Now delete that picture. In Once Upon an Algorithm, Martin Erwig explains computation as something that takes place beyond electronic computers, and computer science as the study of systematic problem solving. Erwig points out that many daily activities involve problem solving. Getting up in the morning, for example: You get up, take a shower, get dressed, eat breakfast. This simple daily routine solves a recurring problem through a series of well-defined steps. In computer science, such a routine is called an algorithm.Erwig illustrates a series of concepts in computing with examples from daily life and familiar stories. Hansel and Gretel, for example, execute an algorithm to get home from the forest. The movie Groundhog Day illustrates the problem of unsolvability; Sherlock Holmes manipulates data structures when solving a crime; the magic in Harry Potter's world is understood through types and abstraction; and Indiana Jones demonstrates the complexity of searching. Along the way, Erwig also discusses representations and different ways to organize data; "intractable" problems; language, syntax, and ambiguity; control structures, loops, and the halting problem; different forms of recursion; and rules for finding errors in algorithms.This engaging book explains computation accessibly and shows its relevance to daily life. Something to think about next time we execute the algorithm of getting up in the morning.

    

    They gleefully whip the media into a frenzy over a fake teen drug crisis; they post offensive messages on Facebook memorial pages, traumatizing grief-stricken friends and family; they use unabashedly racist language and images. They take pleasure in ruining a complete stranger's day and find amusement in their victim's anguish. In short, trolling is the obstacle to a kinder, gentler Internet. To quote a famous Internet meme, trolling is why we can't have nice things online.Or at least that's what we have been led to believe. In this provocative book, Whitney Phillips argues that trolling, widely condemned as obscene and deviant, actually fits comfortably within the contemporary media landscape. Trolling may be obscene, but, Phillips argues, it isn't all that deviant. Trolls' actions are born of and fueled by culturally sanctioned impulses -- which are just as damaging as the trolls' most disruptive behaviors.Phillips describes, for example, the relationship between trolling and sensationalist corporate media -- pointing out that for trolls, exploitation is a leisure activity; for media, it's a business strategy. She shows how trolls, "the grimacing poster children for a socially networked world," align with social media. And she documents how trolls, in addition to parroting media tropes, also offer a grotesque pantomime of dominant cultural tropes, including gendered notions of dominance and success and an ideology of entitlement. We don't just have a trolling problem, Phillips argues; we have a culture problem. This Is Why We Can't Have Nice Things isn't only about trolls; it's about a culture in which trolls thrive.

    Author Michael Bazzell has been well known in government circles for his ability to locate personal information about anyone through the internet. In Hiding from the Internet: Eliminating Personal Online Information, he exposes the resources that broadcast your personal details to public view. He has researched each source and identified the best method to have your private details removed from the databases that store profiles on all of us. This book will serve as a reference guide for anyone that values privacy. Each technique is explained in simple steps. It is written in a hands-on style that encourages the reader to execute the tutorials as they go. The author provides personal experiences from his journey to disappear from public view. Much of the content of this book has never been discussed in any publication. Always thinking like a hacker, the author has identified new ways to force companies to remove you from their data collection systems. This book exposes loopholes that create unique opportunities for privacy seekers. Among other techniques, you will learn to: Remove your personal information from public databases and people search sites Create free anonymous mail addresses, email addresses, and telephone numbers Control your privacy settings on social networks and remove sensitive data Provide disinformation to conceal true private details Force data brokers to stop sharing your information with both private and public organizations Prevent marketing companies from monitoring your browsing, searching, and shopping habits Remove your landline and cellular telephone numbers from online websites Use a credit freeze to eliminate the worry of financial identity theft and fraud Change your future habits to promote complete privacy and anonymity Conduct a complete background check to verify proper information removalConfigure a home firewall with VPN Kill-SwitchPurchase a completely invisible home or vehicle

    Infinite Reality is the straight dope on what is and isn’t happening to us right now, from two of the only scientists working on the boundaries between real life and its virtual extensions.”—Douglas Rushkoff, author of Program or Be ProgrammedHow achievable are the virtual experiences seen in The Matrix, Tron, and James Cameron’s Avatar? Do our brains know where “reality” ends and “virtual” begins? In Infinite Reality, Jim Blascovich and Jeremy Bailenson, two pioneering experts in the field of virtual reality, reveal how the human brain behaves in virtual environments and examine where radical new developments in digital technology will lead us in five, fifty, and five hundred years.

    In this book, Chris Bernhardt offers an introduction to quantum computing that is accessible to anyone who is comfortable with high school mathematics. He explains qubits, entanglement, quantum teleportation, quantum algorithms, and other quantum-related topics as clearly as possible for the general reader. Bernhardt, a mathematician himself, simplifies the mathematics as much as he can and provides elementary examples that illustrate both how the math works and what it means.Bernhardt introduces the basic unit of quantum computing, the qubit, and explains how the qubit can be measured; discusses entanglement--which, he says, is easier to describe mathematically than verbally--and what it means when two qubits are entangled (citing Einstein's characterization of what happens when the measurement of one entangled qubit affects the second as "spooky action at a distance"); and introduces quantum cryptography. He recaps standard topics in classical computing--bits, gates, and logic--and describes Edward Fredkin's ingenious billiard ball computer. He defines quantum gates, considers the speed of quantum algorithms, and describes the building of quantum computers. By the end of the book, readers understand that quantum computing and classical computing are not two distinct disciplines, and that quantum computing is the fundamental form of computing. The basic unit of computation is the qubit, not the bit.

    

    Such a device would operate under a different set of physical laws: The laws of quantum mechanics. Johnson gently leads the curious outsider through the surprisingly simple ideas needed to understand this dream, discussing the current state of the revolution, and ultimately assessing the awesome power these machines could have to change our world.

    Brian Arthur puts forth the first complete theory of the origins and evolution of technology, in a major work that achieves for the invention of new technologies what Darwin’s theory achieved for the emergence of new species. Brian Arthur is a pioneer of complexity theory and the discoverer of the highly influential "theory of increasing returns," which took Silicon Valley by storm, famously explaining why some high-tech companies achieve breakaway success. Now, in this long-awaited and ground-breaking book, he solves the great outstanding puzzle of technology—where do transformative new technologies come from?—putting forth the first full theory of how new technologies emerge and offering a definitive answer to the mystery of why some cultures—Silicon Valley, Cambridge, England in the 1920s—are so extraordinarily inventive. He has discovered that rather than springing from insight moments of individual genius, new technologies arise in a process akin to evolution. Technology evolves by creating itself out of itself, much as a coral reef builds itself from activities of small organisms. Drawing on a wealth of examples, from the most ancient to cutting-edge inventions of today, Arthur takes readers on a delightful intellectual journey, bringing to life the wonders of this process of technological evolution. The Nature of Technology is the work of one of our greatest thinkers at the top of his game, composing a classic for our times that is sure to generate wide acclaim.

    Now featuring more than 250 color illustrations throughout, this perennially popular guide is a must for novices who want to work with HTML or XHTML, which continue to be the foundation for any Web site The new edition features nearly 50 percent new and updated content, including expanded coverage of CSS and scripting, new coverage of syndication and podcasting, and new sample HTML projects, including a personal Web page, an eBay auction page, a company Web site, and an online product catalog The companion Web site features an eight-page expanded Cheat Sheet with ready-reference information on commands, syntax, colors, CSS elements, and more Covers planning a Web site, formatting Web pages, using CSS, getting creative with colors and fonts, managing layouts, and integrating scripts

    Robots are becoming increasingly dextrous, flexible, and safe to be around (except the military ones!).  It is our most powerful technology, and you need to understand it. This new book from best-selling AI writer Calum Chace argues that within a few decades, most humans will not be able to work for money.  Self-driving cars will probably be the canary in the coal mine, providing a wake-up call for everyone who isn’t yet paying attention. All jobs will be affected, from fast food McJobs to lawyers and journalists. This is the single most important development facing humanity in the first half of the 21st century. The fashionable belief that Universal Basic Income is the solution is only partly correct.  We are probably going to need an entirely new economic system, and we better start planning soon - for the Economic Singularity! The outcome can be very good – a world in which machines do all the boring jobs and humans do pretty much what they please. But there are major risks, which we can only avoid by being alert to the possible futures and planning how to avoid the negative ones.

    As you d expect, there s accurate, clearly written coverage of every exam objective (now including Service Pack 1): installation and configuration; user, group, and computer accounts; filesystems and backup/recovery; hardware, disk storage, and printers; Update Services and licensing; monitoring, and more. The content s been extensively revamped and more effectively focused on the exam s objectives. There s also a large Prepare for the Test section packed with questions, answers, testing skills, and suggested practices. You ll find more case studies, more troubleshooting scenarios, electronic practice testing in practically any form your heart desires, and (if you don t have Windows Server handy) a 120-day evaluation version. There s even a 15% discount coupon for your exam -- making this package an even more compelling proposition. Bill Camarda, from the June 2006 href="http://www.barnesandnoble.com/newslet... Only

    This guide also helps you understand the many data-mining techniques in use today.Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.Understand how data science fits in your organization—and how you can use it for competitive advantageTreat data as a business asset that requires careful investment if you’re to gain real valueApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate wayLearn general concepts for actually extracting knowledge from dataApply data science principles when interviewing data science job candidates