Secção | Nome | Descrição |
---|---|---|
UC info | ||
Sumários SIGARRA | ||
MAPI-KDD 2022 | ||
Kaggle Competition | ||
Video-Lectures | ||
KNIME | ||
Knime - slides | ||
Secção 1 | Machine Learning | |
Nearest-Neigbours | ||
Bayesian Classifiers | ||
Decision Trees | ||
Neural Networks | ||
Support Vector Machines | ||
Multiple Models | ||
Evaluation - 1 | ||
Evaluation - 2 (ROC, Costs) | ||
Learning from Imbalance Data | ||
Secção 2 | Multi-Label Classification | |
Structured Outputs Prediction | ||
Novelty Detection | ||
17 Nov Alipio Jorge | NLP - Slides and Assignment | |
22 Nov Paulo Azevedo | Clustering | |
Association Rules | ||
Secção 6 | Data Streams I | |
Data Streams II | ||
Social Network Analysis | ||
AUTOML | ||
Predictive Maintenance | (Rita P. Ribeiro) PdM - Slides |