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2min chapter
061: Interpolation, Extrapolation and Linearisation (Prof. Yann LeCun, Dr. Randall Balestriero)
Machine Learning Street Talk (MLST)
The Challenges of Deep Learning Models
The two key challenges in machine learning are, one, the curse of dimensionality, and, as a corollary of that, knowing what to ignore. What happens when you extrapla outside of the train data? And why does this notion of extrapolation even matter? A lot of human crafted domain knowledge goes into these models.
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