Category Archives: Theory

Derivation: Error Backpropagation & Gradient Descent for Neural Networks

The material in this post has been migraged with python implementations to my github pages website.

Model Selection: Underfitting, Overfitting, and the Bias-Variance Tradeoff

The material in this post has been migrated with python implementations to my github pages website.

Derivation: Ordinary Least Squares Solution and Normal Equations

The material in this post has been migrated to a post by the same name on my github pages website.

Cutting Your Losses: Loss Functions & the Sum of Squares Loss

The material for this post has been migrated to my GitHub pages site. See you there!