Brandon Rohrer explains back propagation using plumbing.
Brandon Rohrer explains Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM) in this informative video.
Brandon Rohrer explains autocorrelation and partial autocorrelation, complete with pictures and Python code.
The great Brandon Rohrer explains how Supoort Vector Machines (SVMs) work in this video tutorial.
The great Brandon Rohrer explains how Bayes’ Theorem works in this video. For another look at Bayesian thinking, check out Julia Galef and some of the posts I’ve written featuring her videos.
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