PyCon.DE 2018: Reproducibility, And Selection Bias In Machine Learning - Valerio Maggio
V. Maggio - Reproducibility, and Selection Bias in Learning
PyCon.DE 2018 LT: PyRant - Valerio Maggio
Your Best Guess When You Know Nothing: Identification and Mitigation of Selection Bias
Is AI Facing A Reproducibility Crisis?
What's the Science in Data Science? - Skipper Seabold
Jan van der Vegt: Common pitfalls leading to wrongly estimated model performance | PD Eindhoven 2019
The state of machine learning operations in 2019: reproducibility, explainability, bias evaluation …
A look at the methods to detect and try to remove bias in ML models - Thierry Silbermann
AI Fairness - Trisha Mahoney
Dave Savio - How we predict purchases in Mobile Games PyCon 2023
Chief Scientist Alejandro Saucedo - ML explainability, bias evaluation and reproducibility.
PyConX Conference Welcome and Introduction
Wilder Rodrigues: Improving Machine Learning Workflow | PyData Amsterdam 2019
Pycon Sei Promo
PyConBy: Alejandro Saucedo, A practical guide towards explainability and bias evaluation in ML
Fabian Krause: Quantamental Investing - the future of finance | PyData London 2019
What to Know about Data Science and Machine Learning in 2022 Peter Norvig
Serg Masis - Interpretable Machine Learning with Python
Valerio Maggio - The unconventional Introduction to Deep Learning