Topic: statistics

p-Hacking 101: Data Peeking (13 Dec 2023)
p-Hacking 101: N Chasing (04 Oct 2020)
Model Selection: Underfitting, Overfitting, and the Bias-Variance Tradeoff (20 Jul 2020)
Supplemental Proof: The Expected Value of a Squared Random Variable (19 Jul 2020)
Cutting Your Losses: Loss Functions & the Sum of Squared Errors Loss (30 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