Published

Download ebook

Download ePub book

You need an eReader or compatible software to experience the benefits of the ePub3 file format.

Download Kindle book

Download direct to your Kindle device for instant, off-line reading

This book presents machine learning (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 specialized 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.

Full abstract

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.

Copyright © IOP Publishing Ltd 2023
Online ISBN: 978-0-7503-4957-4 • Print ISBN: 978-0-7503-4955-0

undefined