The Art of Randomness: Using Randomized Algorithms in the Real World

The Art of Randomness: Using Randomized Algorithms in the Real World

by Ronald T. Kneusel
The Art of Randomness: Using Randomized Algorithms in the Real World

The Art of Randomness: Using Randomized Algorithms in the Real World

by Ronald T. Kneusel

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Overview

Harness the power of randomness (and Python code) to solve real-world problems in fun, hands-on experiments—from simulating evolution to encrypting messages to making machine-learning algorithms!

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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Product Details

ISBN-13: 9781718503243
Publisher: No Starch Press
Publication date: 10/24/2023
Pages: 420
Product dimensions: 7.00(w) x 9.25(h) x (d)

About the Author

Ronald T. Kneusel is a data scientist who builds deep-learning (AI) systems, as well as extensive experience with medical imaging and the development of medical devices. He earned a PhD in machine learning from the University of Colorado, Boulder, has nearly 20 years of machine learning experience in industry, and is presently pursuing deep-learning projects with L3Harris Technologies, Inc. Kneusel is also the author of Random Numbers and Computers (Springer 2018), in addition to Math for Deep Learning, Practical Deep Learning, and Strange Code—all published by No Starch Press.

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