Materials data science: introduction to data mining, machine learning, and data-driven predictions for materials science and engineering
Auteur :
Sandfeld, Stefan
Éditeur :
Springer International Publishing AG
ISBN :
9783031465642
Date de publication :
9 mai 2024
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
Suisse
This text covers all of the data science, machine learning, and deep learning topics relevant to materials science and engineering, accompanied by numerous examples and applications. The section on unsupervised learning emphasizes principal component analysis, and also covers manifold learning (t-SNE and UMAP) and clustering techniques.