Course prepared for Sofia University: Palo Alto facility, January-March 2024 (Winter).
- (2024-01-27) Lecture04 has been added
- (2024-01-20) Lecture03 has been added
- (2024-01-16) Lecture02 has been added
- (2023-12-28) Lecture01 has been added
- (2023-12-26) Repo has been created
| N | Lecture | Desctription |
|---|---|---|
| 01 | Introduction | Introduction. Course logistics and syllabus. Historical reference. ML Paradigms |
| 02 | Supervised Learning | Supervised Learning. Features. Loss functions. Cross-validation |
| 03 | ML Model Fitting Problems | Empirical and Structural Risk. Error Decomposition. Model Selection. Underfitting and overfitting |
| 04 | k-NN for Classification | Non-parametric Classification: k-NN Method and its variants. Common Metrics. Classification Mean Error |