AI Winter School

Material Package

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Contributions*

Lecture 1: Foundations of Machine Learning (Wojciech Kotlowski)

Lecture 2: Uncertainty in Machine Learning (Eyke Hüllermeier)

Lecture 3: Learning with Drift (Barbara Hammer)

Lecture 4: Neuro-Symbolic Learning I (Luc De Raedt)

Lecture 5: Neuro-Symbolic Learning II (Luc De Raedt)

Lecture 6: Class Expression Learning (Axel Ngonga)

Lecture 7: Responsible ML (Monowar Bhuyan)

Poster Session (TBA)

Social Evening Out

Summary

Summary and announcements

Summary and announcements

Training 1: Evaluating machine learning (Michael Röder)

Training 2: Research methodology: Of time and tools (Caglar Demir)

Training 3: Career planning

Winter School Dinner

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Events scheduled on*

27/02/2024

28/02/2024

29/02/2024

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