Teaching GuideTerm Faculty of Computer Science |
Máster Universitario en Intelixencia Artificial |
Subjects |
Machine Learning I |
Contents |
Identifying Data | 2023/24 | |||||||||||||
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 |
Ensemble modeling | Basic and advanced ensemble modelling |
Preprocessing, evaluation and regularization | Data preprocessing. Model creation and evaluation. Complexity and Regularization. |
Unsupervised learning | Unsupervised learning: clustering Unsupervised neural networks |
Reinforcement learning | Markov decision processes Reinforcement learning |
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