A free course designed for people with some coding experience, who want to learn how to apply deep learning and machine learning to practical problems.

Lessons

1. Getting started
2. Deployment
3. Neural net foundations
4. Natural Language (NLP)
5. From-scratch Model
6. Random forests
7. Collaborative filtering and embeddings
8. Convolutions (CNNs)