Covers CNNs, RNNs, SVMs, and supervised learning methods, emphasizing the importance of tuning regularization and making informed decisions in machine learning.
Covers the analysis of gravitational lensing in galaxy clusters, focusing on the mass distribution and precision achieved in the mass model of the galaxy cluster MACSJ0416.1-2403.
Introduces hierarchical and k-means clustering methods, discussing construction approaches, linkage functions, Ward's method, the Lloyd algorithm, and k-means++.
