Visualisation and dimension reduction


  1. Factor Analysis
  2. Variational Auto-encoder
  • Neurons
  • Variational EM (VEM)
  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, chapters:

Lectures Notes

Reference books about machine learning

R base

Official manuals about R base can be retrieved from

Contribution by the community can be retrieved from

The short introduction from Emmanuel Paradis allows a quick start

Longer book allow a deepening. See for example

R from RStudio developers

And if you want more see