Latent Variable ModelsExplores latent variable models, EM algorithm, and Jensen's inequality in statistical modeling.
Unsupervised Behavior ClusteringExplores unsupervised behavior clustering and dimensionality reduction techniques, covering algorithms like K-Means, DBSCAN, and Gaussian Mixture Model.
Topic ModelsIntroduces topic models, covering clustering, GMM, LDA, Dirichlet distribution, and variational inference.
K-means AlgorithmCovers the K-means algorithm for clustering data samples into k classes without labels, aiming to minimize the loss function.