The Art of Randomness

Randomized Algorithms in the Real World

Ronald T. Kneusel (Autor)

Buch | Softcover

400 Seiten

2024
No Starch Press,US (Verlag)
978-1-7185-0324-3 (ISBN)

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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.

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).

TABLE OF CONTENTS...

Introduction
Chapter 1: The Nature of Randomness
Chapter 2: Hiding Information
Chapter 3: Simulate the Real World
Chapter 4: Optimize the World
Chapter 5: Swarm Optimization
Chapter 6: Machine Learning
Chapter 7: Art
Chapter 8: Music
Chapter 9: Audio Signals
Chapter 10: Experimental Design
Chapter 11: Computer Science Algorithms
Chapter 12: Sampling
Resources
Index

Erscheinungsdatum	16.02.2024
Zusatzinfo	1 Illustrations
Verlagsort	San Francisco
Sprache	englisch
Maße	177 x 234 mm
Themenwelt	Mathematik / Informatik ► Informatik ► Datenbanken
	Informatik ► Software Entwicklung ► User Interfaces (HCI)
	Informatik ► Theorie / Studium ► Algorithmen
	Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
	Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
ISBN-10	1-7185-0324-5 / 1718503245
ISBN-13	978-1-7185-0324-3 / 9781718503243
Zustand	Neuware