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2min chapter
061: Interpolation, Extrapolation and Linearisation (Prof. Yann LeCun, Dr. Randall Balestriero)
Machine Learning Street Talk (MLST)
The Convex Holl Is a Necessary Condition for Machine Learning.
For something to be in the convex. Holl, it's a necessary condition that on every single dimension, ah, the sample data point lies within the range that was sampled. So i'm thinking somewhere in between there, like there's almost like a fractional concept of a interpolation extrapolation. O maybe i'm inside 20 % of the dimensions on average. Could that be like a route to any type of definition? yes.
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