Machine Learning for Scientists
Master the future of machine learning with hands-on experience
Workshop Topics
Theoretical Introduction
- • Gaussian process regression
- • Neural network ensembles
- • Bayesian optimization
Hands-on
- • Colab notebook exercises
- • AI agentic programming
Advanced Topics
- • Noisy observations
- • Constrained optimization
- • Physics-informed optimization
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