MACHINE LEARNING FOR THE PHYSICAL SCIENCES FUNDAMENTALS AND PROTOTYPING WITH JULIA (PB 2024) Paperback

Machine learning is a fascinating field with numerous applications, but most textbooks are geared toward computer science students. This creates a challenge for scientists in the physical sciences who want to understand the core concepts of machine learning and explore its applications in their fields. This textbook fills that gap by introducing the mathematical foundations of key machine learning algorithms, specifically designed for those in the physical sciences without a formal computer science background. It illustrates how machine learning can address problems in physics and engineering, making it an ideal resource for senior undergraduate and graduate students in physics and electrical engineering, as well as advanced researchers.