Welcome to the repository for our course on Machine Learning Experiments for Researchers!
This course is a practical companion to the Machine Learning course by Prof. Alberto Bemporad. The course covers key techniques and best practices for designing, running, and analyzing machine learning experiments.
- 📖 Introduction to ML Experiments: Slides
- 💾 Data: Notebook
- 🤖 Model: Notebook
- 📈 Performance Metrics & Optimization: Notebook
- 🔄 Training Loop & Experiment Tracking: Notebook
📍 Location:
IMT School for Advanced Studies Lucca
San Francesco Complex
Classroom 2
🗓 Timetable:
| Day | Date | Time |
|---|---|---|
| Wednesday | February 5, 2025 | 09:00-11:00 |
| Friday | February 7, 2025 | 09:00-11:00 |