Books about Artificial from Amazon.com

For over three decades, Ray Kurzweil has been one of the most respected and provocative advocates of the role of technology in our future. In his classic The Age of Spiritual Machines, he argued that computers would soon rival the full range of human intelligence at its best. Now he examines the next step in this inexorable evolutionary process: the union of human and machine, in which the knowledge and skills embedded in our brains will be combined with the vastly greater capacity, speed, and knowledge-sharing ability of our creations..
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Want to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmaking? This fascinating book demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by people on the Internet. With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it. Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains: Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm Optimization algorithms that search millions of possible solutions to a problem and choose the best one Bayesian filtering, used in spam filters for classifying documents based on word types and other features Using decision trees not only to make predictions, but to model the way decisions are made Predicting numerical values rather than classifications to build price models Support vector machines to match people in online dating sites Non-negative matrix factorization to find the independent features in adataset Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details." -- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths." -- Tim Wolters, CTO, Collective Intellect.
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Twenty years after it topped the bestseller charts, Douglas R. Hofstadter's Gödel, Escher, Bach: An Eternal Golden Braid is still something of a marvel. Besides being a profound and entertaining meditation on human thought and creativity, this book looks at the surprising points of contact between the music of Bach, the artwork of Escher, and the mathematics of Gödel. It also looks at the prospects for computers and artificial intelligence (AI) for mimicking human thought. For the general reader and the computer techie alike, this book still sets a standard for thinking about the future of computers and their relation to the way we think.

Hofstadter's great achievement in Gödel, Escher, Bach was making abstruse mathematical topics (like undecidability, recursion, and 'strange loops') accessible and remarkably entertaining. Borrowing a page from Lewis Carroll (who might well have been a fan of this book), each chapter presents dialogue between the Tortoise and Achilles, as well as other characters who dramatize concepts discussed later in more detail. Allusions to Bach's music (centering on his Musical Offering) and Escher's continually paradoxical artwork are plentiful here. This more approachable material lets the author delve into serious number theory (concentrating on the ramifications of Gödel's Theorem of Incompleteness) while stopping along the way to ponder the work of a host of other mathematicians, artists, and thinkers.

The world has moved on since 1979, of course. The book predicted that computers probably won't ever beat humans in chess, though Deep Blue beat Garry Kasparov in 1997. And the vinyl record, which serves for some of Hofstadter's best analogies, is now left to collectors. Sections on recursion and the graphs of certain functions from physics look tantalizing, like the fractals of recent chaos theory. And AI has moved on, of course, with mixed results. Yet Gödel, Escher, Bach remains a remarkable achievement. Its intellectual range and ability to let us visualize difficult mathematical concepts help make it one of this century's best for anyone who's interested in computers and their potential for real intelligence. --Richard Dragan

Topics Covered: J.S. Bach, M.C. Escher, Kurt Gödel: biographical information and work, artificial intelligence (AI) history and theories, strange loops and tangled hierarchies, formal and informal systems, number theory, form in mathematics, figure and ground, consistency, completeness, Euclidean and non-Euclidean geometry, recursive structures, theories of meaning, propositional calculus, typographical number theory, Zen and mathematics, levels of description and computers; theory of mind: neurons, minds and thoughts; undecidability; self-reference and self-representation; Turing test for machine intelligence..
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New York Times bestselling author Steven Pinker possesses that rare combination of scientific aptitude and verbal eloquence that enables him to provide lucid explanations of deep and powerful ideas. His previous books—including the Pulitzer Prize finalist The Blank Slate—have catapulted him into the limelight as one of today’s most important and popular science writers.

Now, in The Stuff of Thought, Pinker marries two of the subjects he knows best: language and human nature. The result is a fascinating look at how our words explain our nature. What does swearing reveal about our emotions? Why does innuendo disclose something about relationships? Pinker reveals how our use of prepositions and tenses taps into peculiarly human concepts of space and time, and how our nouns and verbs speak to our notions of matter. Even the names we give our babies have important things to say about our relations to our children and to society.

With his signature wit and style, Pinker takes on scientific questions like whether language affects thought, as well as forays into everyday life—why is bulk e-mail called spam and how do romantic comedies get such mileage out of the ambiguities of dating? The Stuff of Thought is a brilliantly crafted and highly readable work that will appeal to fans of readers of everything from The Selfish Gene and Blink to Eats, Shoots & Leaves..
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The LEGO® MINDSTORMS® NXT set includes a variety of powerful electronic parts (motors, sensors, and the programmable NXT microcomputer) and lots of building elements. With these parts you can create thousands of unique, intelligent robots. The Unofficial LEGO MINDSTORMS NXT Inventor's Guide helps you to harness the capabilities of the NXT set and effectively plan, build, and program your own NXT robots.

The first part of the book contains a brief introduction to the NXT set. You'll then examine the pieces in the NXT set and the roles they play in construction. Next, you'll learn practical building techniques, like how to build sturdy structures and work with gears. Then it's time to learn how to program with the official NXT-G programming language (and learn a bit about several unofficial programming languages). You'll also learn what author David J. Perdue calls the MINDSTORMS method: a strategy for creating your own robots. Finally, you'll follow step-by-step instructions for building, programming, and testing six sample robots (all of which can be built using only the parts found in one NXT set). These six robots include:

• Zippy-Bot, a two-wheeled vehicle with a ball caster
• Bumper-Bot, a version of Zippy-Bot that explores your room and avoids objects
• Claw-Bot, a version of Zippy-Bot that searches for objects and pushes them away with its claw
• Tag-Bot, a four-wheeled steering vehicle that dashes around while you try to "tag" it with a flashlight
• Guard-Bot, a six-legged walking robot that launches a ball at intruders
• Golf-Bot, a stationary robot that finds a target and then hits a ball into the target

You'll also find an NXT-G Quick Reference, which provides information on the 30 types of standard programming blocks, and the LEGO MINDSTORMS NXT Piece Library, which features detailed information and images of the more than 80 types of LEGO pieces in the NXT set.

So go ahead. Grab your NXT set, fire up your creative mind, and see what you can invent with The Unofficial LEGO MINDSTORMS NXT Inventor's Guide.

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"The most consistently brilliant science fiction writer in the world."
--John Brunner
THE INSPIRATION FOR BLADERUNNER . .
Do Androids Dream of Electric Sheep? was published in 1968. Grim and foreboding, even today it is a masterpiece ahead of its time.
By 2021, the World War had killed millions, driving entire species into extinction and sending mankind off-planet. Those who remained coveted any living creature, and for people who couldn't afford one, companies built incredibly realistic simulacrae: horses, birds, cats, sheep. . .
They even built humans.
Emigrees to Mars received androids so sophisticated it was impossible to tell them from true men or women. Fearful of the havoc these artificial humans could wreak, the government banned them from Earth. But when androids didn't want to be identified, they just blended in.
Rick Deckard was an officially sanctioned bounty hunter whose job was to find rogue androids, and to retire them. But cornered, androids tended to fight back, with deadly results.
"[Dick] sees all the sparkling and terrifying possibilities. . . that other authors shy away from."
--Paul Williams
Rolling Stone.
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On the eve of Armageddon, with the entire galaxy at war, seven pilgrims set forth on a final voyage to Hyperion seeking the answers to the unsolved riddles of their lives. Each carries a desperate hope--and a terrible secret. And one may hold the fate of humanity in his hands.

A stunning tour de force, this Hugo Award-winning novel is the first volume in a remarkable new science fiction epic by the author of The Hollow Man..
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Let Web metrics expert Brian Clifton help you maximize your website's potential. In this book you'll discover the information you need to get a true picture of your site's impact and stay competitive using Google Analytics. Featuring implementation techniques not documented elsewhere, this informative guide teaches you how to turn data into actionable information and optimize the user experience of your website for better conversions. You'll learn to:

• Measure your web traffic, its sources and visitor engagements and understand its impact on ROI
• Configure your data collection parameters to track all online marketing channels, Flash events, banners, and more
• Follow best practices for tracking offline activities and learn how to extract, analyze, and integrate the collected data
• Optimize checkout systems, pay-per-click campaigns (including AdWords), SEO, and email marketing efforts
• Discover the benefits of ad version testing and the insight multivariate testing can bring

With a better understanding of your website visitors, you will be able to tailor page content and marketing budgets with laserlike precision for a better return on investment, and ultimately, a better bottom line..
Price: $21.36 [Notify me when price goes down.]

The dramatic growth in practical applications for machine learning over the last ten years has been accompanied by many important developments in the underlying algorithms and techniques. For example, 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 techniques. The practical applicability of Bayesian methods has been greatly enhanced by the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation, while new models based on kernels have had a significant impact on both algorithms and applications.

This completely 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. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

The book is suitable for courses on machine learning, statistics, computer science, signal processing, computer vision, data mining, and bioinformatics. Extensive support is provided for course instructors, including more than 400 exercises, graded according to difficulty. Example solutions for a subset of the exercises are available from the book web site, while solutions for the remainder can be obtained by instructors from the publisher. The book is supported by a great deal of additional material, and the reader is encouraged to visit the book web site for the latest information.

Coming soon:

*For students, worked solutions to a subset of exercises available on a public web site (for exercises marked "www" in the text)

*For instructors, worked solutions to remaining exercises from the Springer web site

*Lecture slides to accompany each chapter

*Data sets available for download

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