Timo Freiesleben
Co-author of "Supervised Machine Learning for Science," contributing expertise on practical applications of machine learning in science.
Best podcasts with Timo Freiesleben
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Mar 27, 2025 • 42min
Supervised machine learning for science with Christoph Molnar and Timo Freiesleben, Part 2
Join Christoph Molnar and Timo Freiesleben, co-authors of 'Supervised Machine Learning for Science,' as they dive deep into practical machine learning applications in research. They discuss the significance of tailoring evaluation metrics to enhance model performance and the pivotal role of domain knowledge in data collection. The duo also highlights strategies for measuring causality and improving robustness against distribution shifts. Finally, they tackle the challenges of reproducibility in science versus machine learning, offering insightful solutions.
Mar 25, 2025 • 27min
Supervised machine learning for science with Christoph Molnar and Timo Freiesleben, Part 1
Christoph Molnar, an expert in supervised machine learning, and Timo Freiesleben, a postdoctoral researcher in AI ethics, explore the intersection of machine learning and science. They discuss the skepticism scientists have towards predictive models and highlight the balance between accuracy and interpretability. The duo addresses the diverse levels of machine learning adoption across various scientific fields and the importance of domain knowledge. They also touch on how ML can enable scientists to test hypotheses and potentially discover new scientific laws.
