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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| Machine Learning II |
| Recommendations |
| Identifying Data | 2022/23 | |||||||||||||
| Subject | Machine Learning II | Code | 614544014 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 2nd four-month period |
First | Optional | 3 | ||||||||||
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| Subjects that it is recommended to have taken before | |
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| Subjects that are recommended to be taken simultaneously |
| Subjects that continue the syllabus |
| Other comments | |
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The students should be familiar with mid-level programming concepts, linear algebra, calculus and stadistics. The knowledge of basic concurrence and parallel architecture is also helpful |
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