Place and Time
| Room: | Summer School Ljubljana |
|---|---|
| Time: | Thu, Fri 14-16 |
Recommended Lecture Notes
Content of Lecture
Lecture notes and Jupyter notebooks will be provided during the lecture
- What is Machine Learning?
- Various methods for regression and classification
- Introduction to Neural Networks
- Optimisation of Neural Networks
- Hyperparameter optimisatioin
- Underfitting / Overfitting
- Variance Bias
- ROC Curves
- Supvervised vs Unsupervised learning
- Application of Neural Networks to High-Energy Physics