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University of Beira Interior
MACHINE LEARNING
FACULTY
09/02/2026: The 'Recurso exam epoch' marks are available. Tests can be seen on Tuesday, 10/02, between 14:00-15:00.
26/01/2026: The 'Normal exam epoch' marks are available. Tests can be seen on Tuesday, 27/01, between 14:00-15:00.
27/12/2025: The final 'Classific. Ensino/Aprendizagem' marks are available.
27/12/2024: The marks of the written test are available. The discussion of the practical works is scheduled. Tests can be seen on Monday, 05/01, during the afternoon.
01/09/2025: The webpage for the course is online.
1. Introduction;
2. Model Representation, Linear Regression;
3. Logistic Regresion;
4. Dimensionality Reduction;
5. Neural Networks;
6. Unsupervised and Self-Supervised Learning;
7. Density Estimation;
8. Reinforcement Learning;
- C. Bishop. Pattern Recognition and Machine Learning, Springer, ISBN-13: 978-0387310732, 2011.
- M. Mohri, A. Rostamizadeh, A. Talwalkar, F. Bach. Foundations of Machine Learning, ISBN-13: 978-0262039406, 2018.
- Assiduity (A) To get approved at this course, students should attend to - at least - 80% of the theoretical and 80% of the practical classes.
- Practical Projects (P) The practical projects of this course weight 50% (10/20) of the final mark.
- (P1) Practical Project 1: Supervised Learning (Linear + Logistic Regression) (5/20).
- Due Date: Friday, October 3rd, 2025, 23:59:59.
- (P2) Practical Project 2: Convolutional Neural Networks - CNNs (10/20).
- Due Date: Friday, November 14th, 2025, 23:59:59.
- (P3) Practical Project 3: Unsupervised Learning (5/20).
- Due Date: Friday, December 12th, 2025, 23:59:59.
- To get approved at the course, a minimal mark of 8/20 should be obtained in the practical project part.
- Written Test (F) Thursday, December 18th, 2025, 18:00, Room 6.03.
- Mark (M) M = [A >= 0.8] * [P >= 8/20] * (P * 10/20 + F * 10/20).
- Admission to Exams Students with M >= 6 are admitted to final exams.
- The practical projects mark is considered in all examination epochs.
(cont.)
(cont.)
(SOMs, cont):
Pratical Project III (Unsupervised Learning): [pdf]
(Written Test, December, 18th, 18:00, Room 6.03.)