The interactive film is in the book's Companion

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Random Fourier Features

Chapter 13 · Mathematics for AI and Machine Learning · Advanced · 1:22

An interactive live film: random cosine features estimate the Gaussian kernel without bias; raise their number m and watch the orange surface settle onto the blue kernel.

Narration

The blue surface is the Gaussian kernel, k of x and y, with x fixed at the origin: one at the centre, falling to zero with distance.

Bochner's theorem writes it as an average of waves: the expected cosine of omega transpose x minus y, with the frequencies omega drawn from a Gaussian. Each orange dot on the floor is one frequency.

The rest of the narration is in the book's Companion.

More from Chapter 13

Interactive1:35Normalizing Flows: Chaining Invertible MapsChapter 13Preview1:38Independence as an Outer ProductChapter 13Preview1:40Conditional Gaussian: A Slice of the BellChapter 13Preview1:46Change of Variables: Same Probability, Different AreaChapter 13Preview1:35The von Mises-Fisher Distribution: A Gaussian for DirectionsChapter 13Preview1:42The Dirichlet Distribution: A Density on the SimplexChapter 13Preview1:14Gaussian Mixture Model: Multimodal TerrainChapter 13Preview1:41Whitening: PCA and ZCAChapter 13Preview1:36Beta and Bernoulli: Updating with Pseudo-CountsChapter 13Preview1:43ROC Curve and AUC: the Mass Above the DiagonalChapter 13Preview1:40Hoeffding's Inequality: How Fast a Sample Mean SettlesChapter 13Preview1:25Temperature Scaling: Calibrating a SoftmaxChapter 13Preview1:34Mahalanobis Distance: The Ellipsoids of a GaussianChapter 13Preview2:09Random Directions Are Nearly OrthogonalChapter 13