Synthetic program:
| Machine Learning techniques are very important tools of Data Mining. This course introduces the many relevant algorithms developed in this area that are applied to extract interesting knowledge from data such as decision and regression trees, classification and association rules, clustering, Bayesian networks, etc. The course also illustrates the steps of a typical Data Mining process. |
Lecture Notes
Complete course:
| Type |
File name |
Year |
| Digital notes |
Complete course notes |
2017/2018 |
Divided by topic:
| Type |
File name |
Year |
| File not available... |
Other:
| Type |
File name |
Year |
| File not available... |
Exercises
Complete course:
| Type |
File name |
Year |
| File not available... |
Divided by topic:
| Type |
File name |
Year |
| File not available... |
Other:
| Type |
File name |
Year |
| File not available... |
Exams
First partial exam:
| Type |
Date |
| File not available... |
Second partial exam:
| Type |
Date |
| File not available... |
Full exam:
Oral exam:
| Type |
Date |
| File not available... |
Multiple choice test:
| Type |
Date |
| File not available... |
Other:
| File name |
| File not available... |
Other
Laboratory:
| File name |
Year |
| File not available... |
Projects:
| File name |
Year |
| File not available... |
Presentations:
| File name |
Year |
| File not available... |
Collections of notes, exercises or exams:
Tables:
| File name |
Year |
| File not available... |
Etc:
| File name |
Year |
| File not available... |
Live
Quick daily notes, exercises and audio recordings. Files will be approved on priority but deleted after 365 days. 2 points will be assigned by default.
Quick contents:
| File name |
Date |
| File not available... |
