Machine learning for the physical sciences: fundamentals and prototyping with julia
Auteur :
Requião da Cunha, Carlo
Éditeur :
Taylor & Francis Ltd
ISBN :
9781032395234
Date de publication :
11 déc. 2023
Dimensions :
23,4 x 15,6 cm
Poids :
394 g
Langue :
Anglais
Pays d'origine :
Grande Bretagne
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.