Links to slides from PyData Warsaw 2017
Thursday, 19.10.2017
Keynotes
- 10:45-11:30 Towards Interpretable Accountable Models, Katharine Jarmul
See also this blog post.
Track 1
- 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
Track 2
- 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
Track 3
Friday, 21.10.2018
Keynotes
- 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
Track 1
- 12:00-12:30 From a model to production like a Pro: Software-engineering Best-Practices, Marcel Krčah
- 15:35-16:05 Conduct a computational experiment in 10 minutes (instead of 1 week) & process results in real-time, Laurent Picard