Machine Learning For Physicists: A hands-on approach - Softcover

Raeisi, Sadegh; Raeisi, Sedighe

Softcover

ISBN 10: 0750349581 ISBN 13: 9780750349581

Publisher: Institute of Physics Publishing, 2023

Synopsis

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

Edition details

• Publisher: Institute of Physics Publishing
• Publication date: 2023
• Language: English
• ISBN 10: 0750349581
• ISBN 13: 9780750349581
• Binding: Paperback
• Number of pages: 236