Source code and notebooks to reproduce experiments and benchmarks on Bias Faces in the Wild (BFW).

It is a jupyter notebook which examine the varience and bias parameters of maximum likelihood and maximum a posteriori approaches for biomedical imaging.

A collection of notebooks to explore bias, fairness and explainability of machine learning models

This is a collection of markdown, notebooks and/or other types of files. The images used inside are mostly from Andrew Ng and his courses. This is useful for topic vise study, and preparations. It might contain some images from the ML course offered at Innopolis University. A student from IU can use this to get good score in that course, it cove…