Introduction to Machine Learning (2021 edition at IFIC)
Outline of the course:
- Lecture 1: review of ML + summary of statistics
- Lecture 2: regression and overfitting control
- Lecture 3: bayesian learning
- Lecture 4: classification
- Hands-on session: classification
- Lecture 5: neural networks
- Hands-on session: neural nets
- Lecture 6: non-parametric methods
- Lecture 7: gaussian processes
- Lecture 8: unsupervised learning
https://indico.ific.uv.es/event/6219/
