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Teaching GuideTerm Faculty of Computer Science |
| Grao en Ciencia e Enxeñaría de Datos |
 Subjects |
| Machine Learning I |
| Methodologies |
| Identifying Data | 2021/22 | |||||||||||||
| Subject | Machine Learning I | Code | 614G02019 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Graduate | 2nd four-month period |
Second | 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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