The Art of Randomness : Randomized Algorithms in the Real World
Book Details
Format
Paperback / Softback
ISBN-10
1718503245
ISBN-13
9781718503243
Publisher
No Starch Press,US
Imprint
No Starch Press,US
Country of Manufacture
US
Country of Publication
GB
Publication Date
Mar 5th, 2024
Print length
400 Pages
Weight
758 grams
Dimensions
17.90 x 23.40 x 2.70 cms
Product Classification:
Chaos theoryAlgorithms & data structures
Ksh 8,650.00
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When properly applied, randomness can be a powerful tool in programming, science, and art. This highly practical but geekily fun introduction to randomness shows you how to put chaos to work, illustrating its ability to power everything from the simulation of Darwinian evolution, to product placement in a grocery store, to hiding information in plain sight, and even how to generate art and music. By encouraging you to engage in 'what if' speculation, you'll build intuition about when and how to use randomness to get things done. Each chapter describes how randomness plays into the given topic area, then proceeds to demonstrate its problem-solving role with hands-on experiments to work through using Python code. By the end of the book, you'll see why randomness belongs in every programmer's toolbox. Explore the mathematical background of randomness, use randomness for encrypting messages, creating models, and implementing swarm-intelligence or machine-learning algorithms, discover how randomness is used in programming applications, and apply it to your own work.
When properly applied, randomness can be a powerful tool in programming, science, and art. This highly practical but geekily fun introduction to randomness shows you how to put chaos to work, illustrating its ability to power everything from the simulation of Darwinian evolution, to product placement in a grocery store, to hiding information in plain sight, and even how to generate art and music. By encouraging you to engage in ''what if'' speculation, you''ll build intuition about when and how to use randomness to get things done. Each chapter describes how randomness plays into the given topic area, then proceeds to demonstrate its problem-solving role with hands-on experiments to work through using Python code. By the end of the book, you''ll see why randomness belongs in every programmer''s toolbox. Explore the mathematical background of randomness, use randomness for encrypting messages, creating models, and implementing swarm-intelligence or machine-learning algorithms, discover how randomness is used in programming applications, and apply it to your own work.
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