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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| Machine Learning I |
| Contents |
| Identifying Data | 2022/23 | |||||||||||||
| Subject | Machine Learning I | Code | 614544012 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 1st four-month period |
First | Obligatory | 6 | ||||||||||
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| Topic | Sub-topic |
| Supervised learning | Introduction to learning Artificial Neural Networks Support Vector Machines Decision trees Regression Instance-based learning |
| Unsupervised learning | Unsupervised learning: clustering Unsupervised neural networks |
| Reinforcement learning | Markov decision processes Reinforcement learning |
| Ensemble modeling | Basic and advanced ensemble modelling |
| Preprocessing and feature extraction techniques, regularization, model creation and evaluation. |
Preprocessing and feature extraction techniques. Regularization. Model creation and evaluation. |
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