Materials Data Science (inbunden, eng)

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.

Format	Inbunden
Omfång	618 sidor
Språk	Engelska
Förlag	Springer International Publishing AG
Utgivningsdatum	2024-05-09
ISBN	9783031465642