Exploring Interpretable Machine Learning Part 1
Let's dive into the details surrounding Interpretable Machine Learning Part 1.
- 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,
- PyData Chicago December Meetup
- Recently, we released the PiML (Python
- InterpretableML #
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 Exploring Tools for
This talk is based on a real data science project of mine. The used dataset will have a target column, that is going to be predicted.
That wraps up our extensive overview of Interpretable Machine Learning Part 1.
