- 10:45-11:30 Towards Interpretable Accountable Models, Katharine Jarmul
See also this blog post.
- 13:10-13:40 Natural Language Processing for the Impatient, Sebastian Dziadzio
- 15:00-15:30 Natural Language Processing challenges in the context of Polish and other Slavic languages, Łukasz Kobyliński and Michał Wasiluk
- 17:10-17:40 Debugging machine learning, Michał Łopuszyński
- 12:00-12:30 Teaching Machine Learning, Piotr Migdał
- 15:35-16:05 Can one do better than XGBoost? Mateusz Susik
- 17:10-17:40 The Python Ecosystem for Data Science: A Guided Tour, Christian Staudt
- 10:00-10:45 Winning together: Bridging the gap between academia and industry (Python edition), Radim Řehůřek
See also this blog post.
- 10:45-11:30 Building People Analytics, Cameron Davidson-Pilon