Bachelor in Data Science and Engineering (Plan: 392 - Estudio: 350)
Coordinating teacher:
Department assigned to the subject: Statistics Department
Type: Electives
ECTS Credits: 6.0 ECTS
Course: 4º
Semester:
Description of contents: programme
1. Efficient estimation for least-squares: QR and SVD
2. Model Selection: stepwise regression, cross validation
3. Regularization: ridge and lasso
4. Dimension reduction: PLS and PCR
5. Case Studies
Assessment System
% end-of-term-examination 60
% of continuous assessment (assigments, laboratory, practicals...) 40
The course syllabus may change due academic events or other reasons.
