implements Runnable

public class Programmer implements Runnable

ferrolearn #3 — k-nearest neighbors

implementing k-nearest neighbors from scratch in rust and wasm — euclidean distance, majority voting, choosing k by cross-validation, and what the abalone dataset teaches us about lazy, instance-based learning.

14 min read · July 09, 2026

2026 · ferrolearn rust wasm machine-learning knn
ferrolearn #2 — logistic regression

implementing logistic regression from scratch in rust and wasm — sigmoid, binary cross-entropy, k-fold cross-validation, and what the abalone dataset teaches us about the limits of linear classifiers.

16 min read · June 26, 2026

2026 · ferrolearn rust wasm machine-learning logistic-regression
ferrolearn #1 — linear regression

implementing linear regression from scratch in rust and wasm — gradient descent, regularization, k-fold cross-validation, and what the abalone dataset teaches us about the limits of linear models.

22 min read · June 17, 2026

2026 · ferrolearn rust wasm machine-learning linear-regression
ferrolearn #0 — exploratory data analysis with rust + wasm

before we train anything, we look at the data — parsing abalone shell measurements in rust and visualising the results in the browser

6 min read · June 13, 2026

2026 · rust wasm machine-learning ferrolearn
ferrolearn — ml algorithms from scratch in rust + wasm

a series reimplementing classic ml algorithms in rust, compiled to wasm, with interactive browser demos

2 min read · June 13, 2026

2026 · rust wasm machine-learning ferrolearn

implements Runnable

public class Programmer implements Runnable

ferrolearn #3 — k-nearest neighbors

ferrolearn #2 — logistic regression

ferrolearn #1 — linear regression

ferrolearn #0 — exploratory data analysis with rust + wasm

ferrolearn — ml algorithms from scratch in rust + wasm