Exploring Interpretable Machine Learning Part 1
Let's dive into the details surrounding Interpretable Machine Learning Part 1.
- While understanding and trusting models and their results is a hallmark of good (data) science, model
- Exploring Tools for
- Recently, we released the PiML (Python
- This video introduces the concepts of
- PyData Chicago December Meetup
In-Depth Information on Interpretable Machine Learning Part 1
Interpretable machine learning by Miles Cranmer. Organizers: Bolei Zhou Laurens van der Maaten Been Kim Andrea Vedaldi Description: Complex In the first segment of the workshop, Professor Hima Lakkaraju motivates the need for
In 2018 he released the first version of his incredible online book,
That wraps up our extensive overview of Interpretable Machine Learning Part 1.
