Machine Learning for the Physical Sciences: Fundamentals and Prototyping with Julia

By Carlo Requião da Cunha

This textbook bridges this gap, providing an introduction to the mathematical foundations for the main algorithms used in machine learning for those from the physical sciences, without a formal background in computer science.

• Format: Hardcover
• Language: English
• ISBN: 1032392290
• ISBN13: 9781032392295
• Release Date: December 2023
• Publisher: CRC Press
• Length: 266 Pages
• Weight: 1.28 lbs.
• Dimensions: 0.7" x 6.1" x 9.2"