Explaining Machine Learning
Lucas discusses the importance of explainability in machine learning models and his research on Explainable K Means Clustering, which aims to make complex models more understandable.In this clip
From this podcast
Data Skeptic
Explainable K-Means
Related Questions
What is the challenge around explainability in AI as discussed in the episode Explainable K-Means and the clip Shallow Decision Trees?
How can AI be made explainable in the context of the episode Explainable K-Means and the clip Shallow Decision Trees?
What is the challenge around explainability in AI?