Nine Algorithms That Changed the Future : : The Ingenious Ideas That Drive Today's Computers / / John MacCormick.

• VerfasserIn: MacCormick, John,
• TeilnehmendeR: Bishop, Chris.
• Place / Publishing House: Princeton, NJ : : Princeton University Press, , [2011]; ©2013
• Year of Publication: 2011
• Language: English
• Physical Description: 1 online resource (232 p.) :; 5 halftones. 98 line illus. 1 table.

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.

Table of Contents

Frontmatter -- CONTENTS -- Foreword -- 1. Introduction: What Are the Extraordinary Ideas Computers Use Every Day? -- 2. Search Engine Indexing: Finding Needles in the World's Biggest Haystack -- 3. PageRank: The Technology That Launched Google -- 4. Public Key Cryptography: Sending Secrets on a Postcard -- 5. Error-Correcting Codes: Mistakes That Fix Themselves -- 6. Pattern Recognition: Learning from Experience -- 7. Data Compression: Something for Nothing -- 8. Databases: The Quest for Consistency -- 9. Digital Signatures: Who Really Wrote This Software? -- 10. What Is Computable? -- 11. Conclusion: More Genius at Your Fingertips? -- Acknowledgments -- Sources and Further Reading -- Index