Interpolation with Kernels a first step towards Data Science @JoelRosenfeld
Interpolation with Kernels a first step towards Data Science  @JoelRosenfeld
Uploaded May 2021 | Updated September 2026, 2 days ago
In this video we code up RBF Kernel Interpolation from scratch. Radial basis functions are one of the best ways of handling scattered data interpolation, and it's really easy to code, even for when it gets into higher dimensions.

This is the first part of several lectures, where we will refine the code into something much faster and more robust. Stay tuned!

Code Link: bitbucket.org/joelrosenfeld/rbf-and-kernel-interpolation/src/master

Music:
Come 2gether by Ooyy
Sunrise in Paris by Dan Henig
Guardians + Tek by Craig Hardgrove
Interpolation with Kernels a first step towards Data ScienceHow do you fund a PhD? #phdlife #gradschoolComplex Analysis - The Pick Interpolation Theoremthings to do with a MATH PhDMathematical Divination - KrigingChristopher Nolan made a mistake in Oppenheimer #oppenheimer #oppenheimermoviereviewthe tragedy of Raymond Paley #shortsCompact Operators from the ground upNumerical Analysis - Final Exam Review 1What I learned talking to NSF Program Managers about CAREER GrantsReproducing Kernels and Functionals (Theory of Machine Learning)Mastering the Art of Reading Proofs: By Example
ThatMathThing |

Interpolation with Kernels a first step towards Data Science

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER