Part 1. Introduction
Slides
Part 2. Preliminaries: Machine Learning and Optimization 1
Part 3. Preliminaries: Machine Learning and Optimization 2
Part 4. Latent Semantic Indexing
Part 5. GloVe
Part 6. Recurrent Neural Networks
Part 1. NLP Basics
Part 2. ML Basics
Part 3. Backpropagation
Part 4. Autoencoders