NANO 281Data Science in Materials Science
Comprehensive introduction into the application of data science to materials science. Introduction to broad array of machine learning techniques (e.g., supervised, unsupervised) and applications (e.g., regression, dimensionality reduction, classification), with a focus on practical examples in materials science.