Writing
I have called this page “notes” or “blog” in the past. Whatever you want to call it, it is a collection of the things I write.
Machine learning
- Yet another introduction to backpropagation
- Yet another introduction to probabilistic graphical models
- Gibbs sampling for fitting finite and infinite Gaussian mixture models [code]
- Vector and matrix calculus
- Dynamic programming
- Principal components analysis
- Autoencoder, variational AE, vector-quantised VAE and categorical VAE
- Introduction to machine learning (Data Analytics 414)
- Introduction to natural language processing (NLP817)