Machine Learning for the Physical Sciences. Fundamentals and Prototyping with Julia, Paperback/Carlo Requiao 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. Publisher: Taylor & Francis Ltd Author(s): Carlo Requiao da Cunha Illustration(s): 9 Tables, black and white; 87 Line drawings, black and white; 3 Halftones, black and white; 90 Illustrations, black and white Number of pages: 266 Publication date: 2023 Dimensions: 155 x 234 x 21 Cover type: Paperback / softback