The Art of Randomness: Randomized Algorithms in the Real World
Author:   Ronald T. Kneusel
Publisher:   No Starch Press,US
ISBN:  

9781718503243


Pages:   400
Publication Date:   05 March 2024
Format:   Paperback
Availability:   To order   Availability explained
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.

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The Art of Randomness: Randomized Algorithms in the Real World


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Author:   Ronald T. Kneusel
Publisher:   No Starch Press,US
Imprint:   No Starch Press,US
Weight:   0.369kg
ISBN:  

9781718503243


ISBN 10:   1718503245
Pages:   400
Publication Date:   05 March 2024
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   To order   Availability explained
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.

Table of Contents

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

Reviews

"""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"


Author Information

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).

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