Teaching GuideTerm Faculty of Computer Science |
Máster Universitario en Intelixencia Artificial |
Subjects |
Machine Learning I |
Methodologies |
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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Methodologies | Description |
Guest lecture / keynote speech | Theoretical teaching of the subject matter of the course |
Laboratory practice | Solve practical problems by using the different techniques that will be explained in the theory classes. |
Supervised projects | Writing, under the supervision of the teacher, of the reports explaining the resolution of the problems carried out in the laboratory practices and the results obtained. |
Objective test | This is a written assessment test in which the student must demonstrate the knowledge acquired from the subject. |
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