Stacked Learning Insights
Erin explains the concept of stacked learning, where multiple base learners feed into a meta learner for improved predictions. Jon shares his experience with this approach at his company, highlighting its effectiveness in various situations. The discussion emphasizes the popularity of stacking in competitions like Kaggle and its intuitive nature in machine learning applications.In this clip
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