Summer School ARTISTE 2025 Navigation Menu
Course Overview
This course offers a structured opportunity to explore foundational and advanced Machine Learning techniques through theoretical instruction and practical application. Participants will engage with the following topics:
- Day 1 (18 September): Machine Learning Basics & Data Exploration
- Python Fundamentals, Introduction to ML, Data Exploration, Classifiers, Gaussian Process Regression
- Day 2 (19 September): Neural Networks
- Basics of Neural Networks, Feed-Forward ANN, Advanced Topics (CNNs, RNNs, LSTM, Autoencoders, GANs)
- Day 3 (20 September): Regression Methods
- Decision Trees, Random Forests, Boosting, Symbolic Regression & Optimization, Computational Intelligence
Detailed Program
TBA
