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School / Prep
ENSTBB
Internal code
BIO8-MPRIA
Description
Understand how gradient descent works and how to apply it. Combine machine learning approaches with boosting algorithms and optimize the performance of the resulting models.
Teaching hours
- CIIntegrated Courses10h
- CMLectures2h
Mandatory prerequisites
Programming and Artificial Intelligence III
Further information
Machine learning: in depth. Gradient descent for machine learning, boosting and combinations of multiple approaches. Case study applications.
Assessment of knowledge
Initial assessment / Main session - Tests
| Type of assessment | Type of test | Duration (in minutes) | Number of tests | Test coefficient | Eliminatory mark in the test | Remarks |
|---|---|---|---|---|---|---|
| Integral Continuous Control | Continuous control | 1 |
Second chance / Catch-up session - Tests
| Type of assessment | Type of test | Duration (in minutes) | Number of tests | Test coefficient | Eliminatory mark in the test | Remarks |
|---|---|---|---|---|---|---|
| Integral Continuous Control | Continuous control | 1 |