Extrapolation Challenges
A critical discussion emerges around the complexities of extrapolation, especially when dealing with high-dimensional data. The challenge lies in effectively controlling model behavior across vast spaces using only a handful of training samples. Insights reveal the intricacies of managing these models and the implications for predictive accuracy.In this clip
From this podcast
Machine Learning Street Talk (MLST)
Want to Understand Neural Networks? Think Elastic Origami! - Prof. Randall Balestriero
Related Questions