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School / Prep
ENSEIRB-MATMECA
Internal code
EI9PR363
Description
Unbalanced data
Model selection, choice of metrics
Working with data
Application to an industrial case on sensor data
Object detection
Use of pre-trained models
Transfer learning
Application to an industrial case on computer vision data
Deployment
Packaging an ML model
Use of FastAPI and Docker
Notions of model monitoring
Teaching hours
- CIIntegrated Courses12h
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 |
|---|---|---|---|---|---|---|
| Project | Continuous control | 1 |