The Art of Randomness: Randomized Algorithms in the Real World

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Description

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!The Art of Randomness is a hands-on guide to mastering the many ways you can use randomized algorithms to solve real programming and scientific problems. You’ll learn how to use randomness to run simulations, hide information, design experiments, and even create art and music. All you need is some Python, basic high school math, and a roll of the dice.Author Ronald T. Kneusel focuses on helping you build your intuition so that you’ll know when and how to use random processes to get things done. You’ll develop a randomness engine (a Python class that supplies random values from your chosen source), then explore how to leverage randomness to:Simulate Darwinian evolution and optimize with swarm-based search algorithmsDesign scientific experiments to produce more meaningful results by making them truly randomImplement machine learning algorithms like neural networks and random forestsUse Markov Chain Monte Carlo methods to sample from complex distributionsHide information in audio files and images, generate art, and create musicReconstruct original signals and images from only randomly sampled dataScientific anecdotes and code examples throughout illustrate how randomness plays into areas like optimization, machine learning, and audio signals. End-of-chapter exercises encourage further exploration.Whether you’re a programmer, scientist, engineer, mathematician, or artist, you’ll find The Art of Randomness to be your ticket to discovering the hidden power of applied randomness and the ways it can transform your approach to solving problems, from the technical to the artistic.

Additional information

Weight 0.75 kg
Dimensions 2.32 × 17.78 × 23.35 cm
PubliCanadation City/Country

USA

by

Format

Paperback

Language

Pages

400

Publisher

Year Published

2024-3-5

Imprint

ISBN 10

1718503245

About The Author

Ronald T. Kneusel is a computer scientist, an expert in machine learning, and a lover of fine craft beers. Kneusel has been working with machine learning in industry since 2003 and completed a PhD in machine learning from the University of Colorado, Boulder, in 2016. He’s the author of four other books with No Starch Press: How AI Works (2023), Strange Code (2022), Practical Deep Learning (2021), and Math for Deep Learning (2021).

"The Art of Randomness is a useful reference and resource for anyone who needs to apply the power of randomized algorithms, including programmers, scientists, engineers, mathematicians, even artists and musicians…highly recommended."—Midwest Book Review

Table Of Content

TABLE OF CONTENTS…IntroductionChapter 1: The Nature of RandomnessChapter 2: Hiding InformationChapter 3: Simulate the Real WorldChapter 4: Optimize the WorldChapter 5: Swarm OptimizationChapter 6: Machine LearningChapter 7: ArtChapter 8: MusicChapter 9: Audio SignalsChapter 10: Experimental DesignChapter 11: Computer Science AlgorithmsChapter 12: SamplingResourcesIndex

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