Lecture notes for 'Interpretable Machine Learning' at UoW. Summer semester 2020/2021
Material for the lecture Responsible ML
A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases:...
Course materials for introductory data science
Machine Learning in Asset Management (by @firmai)
Notebooks and material for Data Science lecture (2021) at BFH.
NLP course, MIPT
A curated list of applied machine learning and data science notebooks and libraries across differ...
General Assembly's 2015 Data Science course in Washington, DC
General Assembly's Data Science course in Washington, DC
Interpretability Techniques to Build Robust AI Applications
Explanatory Model Analysis. Explore, Explain and Examine Predictive Models
Master the essential skills needed to recognize and solve complex real-world problems with Machin...