Covers topic models, focusing on Latent Dirichlet Allocation, clustering, GMMs, Dirichlet distribution, LDA learning, and applications in digital humanities.
Discusses kernel methods in machine learning, focusing on kernel regression and support vector machines, including their formulations and applications.