Kernels!
Machine Learning Street Talk (MLST)
00:00
Understanding Kernels and Function Spaces in Machine Learning
This chapter explores the critical role of kernel functions in machine learning, detailing their importance in transforming features without direct computation. It discusses various kernel types, including polynomial and radial basis functions, alongside the significance of Hilbert spaces and inner products in evaluating functions. Through a thorough analysis, the speakers provide insights into optimizing function space for more efficient machine learning applications.
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Transcript
