General introduction (Rodrigo Cabral Farias)
This lecture will introduce the main ingredients of ML, namely the different classes of problems, the data involved in such processes, the main classes of algorithms, and the learning process.
Topics :
- Data type
- Supervised vs non-supervised learning
- Algorithms taxonomy
- Software platforms and languages