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Nine Algorithms That Changed the Future: The Ingenious Ideas That Drive Today's Computers - Chris Bishop, John MacCormick
Nine Algorithms That Changed the Future: The Ingenious Ideas That Drive Today's Computers
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Every day, we use our computers to perform remarkable feats. A simple web search picks out a handful of relevant needles from the world's biggest haystack: the billions of pages on the World Wide Web. Uploading a photo to Facebook transmits millions of pieces of information over numerous... show more
Every day, we use our computers to perform remarkable feats. A simple web search picks out a handful of relevant needles from the world's biggest haystack: the billions of pages on the World Wide Web. Uploading a photo to Facebook transmits millions of pieces of information over numerous error-prone network links, yet somehow a perfect copy of the photo arrives intact. Without even knowing it, we use public-key cryptography to transmit secret information like credit card numbers; and we use digital signatures to verify the identity of the websites we visit. How do our computers perform these tasks with such ease? This is the first book to answer that question in language anyone can understand, revealing the extraordinary ideas that power our PCs, laptops, and smartphones. Using vivid examples, John MacCormick explains the fundamental "tricks" behind nine types of computer algorithms, including artificial intelligence (where we learn about the "nearest neighbor trick" and "twenty questions trick"), Google's famous PageRank algorithm (which uses the "random surfer trick"), data compression, error correction, and much more. These revolutionary algorithms have changed our world: this book unlocks their secrets, and lays bare the incredible ideas that our computers use every day.
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Format: paperback
ISBN: 9780691158198 (0691158193)
Publisher: Princeton University Press
Pages no: 232
Edition language: English
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Community Reviews
thomcat
thomcat rated it
This book describes nine revolutionary algorithms without delving into deep computer science or mathematics. Ideas such as these truly are the core of software engineering, and one of the main reasons I got into this field. In the conclusion, the author speculates on what sorts of solutions might be...
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