Introduces Scientific Machine Learning, emphasizing its application in various scientific fields and the connection between machine learning and physics.
Introduces unsupervised machine learning clustering techniques like K-means, Gaussian Mixture Models, and DBSCAN, explaining their algorithms and applications.