Material for the lecture Responsible ML
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intro to ML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research p...
Practical machine learning for physicists
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment us...
Interpretability Techniques to Build Robust AI Applications
General Assembly's Data Science course in Washington, DC
NLP course, MIPT
Machine Learning in Asset Management (by @firmai)
Book about interpretable machine learning
Machine Learning Q and AI book
Repository for UAI 2021 paper "Know Your Limits: Uncertainty Estimation with ReLU Classifiers Fai...
Lecture notes for 'Interpretable Machine Learning' at UoW. Summer semester 2020/2021
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt P...
How to do Bayesian statistical modelling using numpy and PyMC3