Educational guide | ||||||||||||||||||||||||||||||||||||||||
IDENTIFYING DATA | 2024_25 | |||||||||||||||||||||||||||||||||||||||
Subject | MACHINE LEARNING | Code | 01751004 | |||||||||||||||||||||||||||||||||||||
Study programme |
|
|||||||||||||||||||||||||||||||||||||||
Descriptors | Credit. | Type | Year | Period | ||||||||||||||||||||||||||||||||||||
4.5 | Compulsory | First | First |
|||||||||||||||||||||||||||||||||||||
Language |
|
|||||||||||||||||||||||||||||||||||||||
Prerequisites | ||||||||||||||||||||||||||||||||||||||||
Department | ING.MECANICA,INFORMAT.AEROESP. |
|||||||||||||||||||||||||||||||||||||||
Coordinador |
|
agueh@unileon.es - |
||||||||||||||||||||||||||||||||||||||
Lecturers |
|
|||||||||||||||||||||||||||||||||||||||
Web | http://agora.unileon.es | |||||||||||||||||||||||||||||||||||||||
General description | ||||||||||||||||||||||||||||||||||||||||
Tribunales de RevisiĆ³n |
|
|||||||||||||||||||||||||||||||||||||||
Topic | Sub-topic |
I. General concepts | 1.- Basic concepts 2.- Pipeline in Machine Learning Projects |
II. Supervised learning | 3.- Classification 4.- Regression 5.- Vector machines 6.- Decision trees 7.- Ensemble methods 8.- Dimensionality reduction |
III. Unsupervised learning 9. | 9. Unsupervised learning |
IV. Reinforcement learning | 10. Reinforcement learning |
Methodologies :: Tests | |||||||||
Class hours | Hours outside the classroom | Total hours | |||||||
Practicals using information and communication technologies (ICTs) in computer rooms | 25 | 67.5 | 92.5 | ||||||
Lecture | 15 | 0 | 15 | ||||||
Mixed tests | 5 | 0 | 5 | ||||||
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. |
Description | |
Practicals using information and communication technologies (ICTs) in computer rooms | ICT practices in computer classrooms Apply, at a practical level, the theory of a field of knowledge in a given context. |
Lecture | Presentation of theoretical, practical and methodological concepts by the professor in the classroom and in the laboratory. The expositions may be accompanied by audio-visual material: projected transparencies, videos, on-line resources. |
|
|
Description | Qualification | ||
Lecture | Written exam with developmental questions/problems/tests | 30-70% | |
Practicals using information and communication technologies (ICTs) in computer rooms | Development/configuration of software components | 30-70% | |
Other comments and second call | |||
Basic | |
Complementary | |