1. Introduction to Artificial Intelligence This module will provide an intro to the field of Artificial Intelligence. |
2. Introduction to Machine Learning Introduction to the field of Machine Learning as a subfield of Artificial Intelligence. |
3. Machine Learning LifeCycle In this module we will see the life cycle of a Machine Learning project. What are the phases for a ML project from data collection to model evaluation. |
4. Introduction to Supervised Learning This module gets deeper in one of the families of ML: Supervised Learning. |
5. Supervised Learning - Regression tasks This module reviews the main models to solve regression tasks with Supervised Learning. |
6. Supervised Learning: Classification Tasks This module reviews the main models to solve classification tasks with Supervised Learning. |
7. Unsupervised Learning This module introduces unsupervised learning and its main models. |
8. Unsupervised Learning: clustering This module will cover clustering models. |
9. Introduction to Recommender Systems This module introduces Recommender Systems. |
10. Recommender Systems: main methods This module overviews the main methods in Recommender Systems; Content-based filtering and collaborative-based filtering. |
