Unsupervised Learning

Clustering: K-means and hierarchical

Gaussian mixture models (GMM)

Principal component analysis (PCA) (slides)

Matrix factorization and Netflix movie recommendations (slides)

Restricted Boltzmann machines (RBMs) (slides)

Singular Value Decomposition and Image Compression (slides)

Generative adversarial networks (GANs) and image generation (slides)