The Geometry of Learning: Interpolation vs. Extrapolation

This chapter examines the critical concepts of interpolation and extrapolation in machine learning, investigating their definitions and implications in high-dimensional spaces. It highlights the challenges posed by new data points in relation to known data and introduces alternative geometric frameworks for understanding these relationships.

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