Chapter 6: Unsupervised Learning
Chapter Overview
Clustering · Dimensionality reduction · Anomaly detection · EM & Gaussian mixtures · Self-supervised learning
Sections
1
Clustering
K-means · DBSCAN · Hierarchical · GMMs
2
Dimensionality Reduction
PCA · t-SNE · UMAP
3
Anomaly Detection
Isolation Forest · LOF · Autoencoders
4
EM Algorithm & Gaussian Mixtures
Soft clustering · Hidden variables
5
Self-Supervised & Representation Learning
Contrastive learning · Pretext tasks
6
Nice to Know
Association rules · Topic modeling · More