Interpretable Machine Learning Chapter 3 Interpretability Session 01 - Detailed Analysis
While understanding and trusting models and their results is a hallmark of good (data) science, model Christoph Molnar is one of the main people to know in the space of 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 Pie&AI Houston meetup. Introduce ScopeRules and Explainable Boosting Expositor: Oscar Gomez ( Quantil ) The continued improvements in the predictive accuracy of
This meetup was recorded in New York City on September 10th, 2018. Slides from the meetup can be found here: ... The objective of this talk is to enlighten the audience about some of the pitfalls in using widely popular ML algorithms and offers ... In this video, I will be discussing about the importance of Hi Everyone, I always wanted to read the book
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