Introduces Scientific Machine Learning, emphasizing its application in various scientific fields and the connection between machine learning and physics.
Introduces hierarchical and k-means clustering methods, discussing construction approaches, linkage functions, Ward's method, the Lloyd algorithm, and k-means++.
