Topic: derivation

Common Linear Algebra Identities (05 Aug 2020)
Derivation: Ordinary Least Squares Solution and the Normal Equations (23 Jul 2020)
Supplemental Proof: The Expected Value of a Squared Random Variable (19 Jul 2020)
Derivation: Derivatives for Common Neural Network Activation Functions (29 Jun 2020)
Derivation: Error Backpropagation & Gradient Descent for Neural Networks (29 Jun 2020)

Available Topics

backpropagation bias-variance-tradeoff data-compression deep-learning expected-value image-compression information-theory least-squares-regression loss-functions low-rank-approximation matrix-identities model-selection natural-language-processing normal-equations ordinary-least-squares parameter-optimization pointwise-mutual-information r-squared word-embeddings ab-testing classification false-positive hypothesis-testing matrix-diagonalization p-hacking regression type-I-error gradient-descent neural-networks singular-value-decomposition derivation linear-algebra statistics