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#64 Prof. Gary Marcus 3.0
Machine Learning Street Talk (MLST)
Exploring Extrapolation and Interpolation in High Dimensions
This chapter explores extrapolation and interpolation within high-dimensional data, highlighting the challenges neural networks face. It evaluates classical definitions, the curse of dimensionality, and the need for a clearer understanding of human versus machine extrapolation capabilities.
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