Visualisation and Dimension reduction

Outline of the course

  1. Factor Analysis
  2. Variational Auto-encoder
  • Neurons and Stochastic Gradient
  • VAE
  1. Visualisation
  • SVD
  • t-SNE
  • UMAP
  1. Introduction to NLP

Reference document

The lecture closely follows and largely borrows material from “Machine Learning: A Probabilistic Perspective” (MLAPP) from Kevin P. Murphy.

Last updated on Feb 11, 2025