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The Art of Randomness
Randomized Algorithms in the Real World
Taschenbuch von Ronald T. Kneusel
Sprache: Englisch

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Beschreibung
"The Art of Randomness teaches readers to harness the power of randomness (and Python code) to solve real-world problems in programming, science, and art through hands-on experiments-from simulating evolution to encrypting messages to making machine-learning algorithms. 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"--
"The Art of Randomness teaches readers to harness the power of randomness (and Python code) to solve real-world problems in programming, science, and art through hands-on experiments-from simulating evolution to encrypting messages to making machine-learning algorithms. 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"--
Über den Autor
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).
Inhaltsverzeichnis
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
Details
Erscheinungsjahr: 2024
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Einband - flex.(Paperback)
ISBN-13: 9781718503243
ISBN-10: 1718503245
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Kneusel, Ronald T.
Hersteller: Random House LLC US
No Starch Press
Maße: 234 x 179 x 24 mm
Von/Mit: Ronald T. Kneusel
Erscheinungsdatum: 05.03.2024
Gewicht: 0,756 kg
Artikel-ID: 126791041
Über den Autor
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).
Inhaltsverzeichnis
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
Details
Erscheinungsjahr: 2024
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Einband - flex.(Paperback)
ISBN-13: 9781718503243
ISBN-10: 1718503245
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Kneusel, Ronald T.
Hersteller: Random House LLC US
No Starch Press
Maße: 234 x 179 x 24 mm
Von/Mit: Ronald T. Kneusel
Erscheinungsdatum: 05.03.2024
Gewicht: 0,756 kg
Artikel-ID: 126791041
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