
Nine Algorithms that Changed the Future: The Ingenious Ideas that Drive Today's Computers: Princeton Science Library
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This audiobook narrated by Quentin Cooper explains the tricks behind nine revolutionary algorithms that power our computers and smartphones
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. 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? John MacCormick answers this question in language anyone can understand, using vivid examples to explain the fundamental tricks behind nine computer algorithms that power our PCs, tablets, and smartphones.
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- Listening Length6 hours and 57 minutes
- Audible release dateSept. 22 2020
- LanguageEnglish
- ASINB08DW7G2XX
- VersionUnabridged
- Program TypeAudiobook
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Product details
Listening Length | 6 hours and 57 minutes |
---|---|
Author | John MacCormick |
Narrator | Quentin Cooper |
Audible.ca Release Date | September 22 2020 |
Publisher | Princeton University Press |
Program Type | Audiobook |
Version | Unabridged |
Language | English |
ASIN | B08DW7G2XX |
Best Sellers Rank | #69,468 in Audible Books & Originals (See Top 100 in Audible Books & Originals) #57 in Online Searching #112 in Programming & Software Development #112 in Computer Science (Audible Books & Originals) |
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Most of the chapters take a discrete innovation and lead the reader along a relatively easy path to understanding the idea. Two chapters seemed to me to stand out as exceptions. Modern databases rest on many ideas, the database chapter felt distinctly less clean than the others as it wandered through some of those ideas. They certainly are great, important ideas, the descriptions seemed reasonable, but I preferred the discrete treatment of a single idea in other chapters. The other exception was the last chapter that discussed one of Allan Turing's ideas about the limitations of computer algorithms. I really liked this chapter and thought it was a brilliant way to wrap up the book.
John MacCormick deserves a great deal of credit for a good execution of a great idea.
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Nonetheless, a good explanation of the computing that happens in front of you on a daily basis, and a dampener on more ludicrous speculation of what a computer (as opposed to a technology) can actually do. It begs the question about the difference, but makes a decent fist of explaining the practical impact of the age of mathematical computer science.