AI and Machine Learning for Scientific Discovery
Note: If you are interested, please apply as soon as possible because the available positions are limited.
Duration: 8 Weeks (One lecture each week).
Starting Date: Early April 2026 (The exact dates and hours to be confirmed).
Cost: $920.
Topics Covered:
- Philosophical Foundation.
- The Principles of Scientific Discovery.
- Advanced Machine Learning for Scientific Discovery.
- Real World Examples.
- Patterns Discovery.
- Symbolic Regression.
- Explainability.
- Uncertainty Quantification.
Details:
This course is your gateway to AI and Machine Learning for Science. AI and Machine Learning have huge potential to accelerate scientific discovery and discover insights that are far beyond the ability of human experts. The course will cover:
- Both the fundamentals and recent advances in the field from leading experts.
- Both the theory and real world examples with python code.
- How to prepare the data, cut all the complexities and unrelated processes, and how to formulate the problem in the right way.
- The leading techniques, tools, practices, and resources.
- More rigorous evaluation and understanding of AI Systems through Explainability, Symbolic Regression, and Uncertainty Quantification to avoid learning patterns and shortcuts that have nothing to do with the actual process and to know how accurate the prediction is, especially for critical applications such as health.