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Machine Learning For Physicists: A hands-on approach

Machine Learning For Physicists: A hands-on approach

by Raeisi, Sadegh
No customer reviews yet ISBN 9780750349550

This book presents ML concepts with a hands-on approach for physicists. The goal is to both educate and enable a larger part of the community with these skills. This will lead to wider applications of modern ML techniques in physics. Accessible to physical science students, the book assumes a familiarity with statistical physics but little in the way of specialised computer science background. All chapters start with a simple introduction to the basics and the foundations, followed by some examples and then proceeds to provide concrete examples with associated codes from a GitHub repository. Many of the code examples provided can be used as is or with suitable modification by the students for their own applications.

Key Features:

  • Practical Hands-on approach: enables the reader to use machine learning
  • Includes code and accompanying online resources
  • Practical examples for modern research and uses case studies
  • Written in a language accessible by physics students
  • Complete one-semester course

About the author

Product details

Pub dateNov 21, 2023
ISBN-100750349557
ISBN-139780750349550
LanguageEnglish
Last updated 2026-03-17 08:59
$197.81
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