MLU-Explain (Visual Explanations of ML Concepts)

A collection of visual essays on machine learning concepts from Machine Learning University, Amazon's education initiative. Fourteen articles cover neural networks, linear and logistic regression, decision trees and random forests, precision and recall, ROC and AUC, cross-validation, the bias-variance tradeoff and more, each built around charts you manipulate yourself. You come away seeing what these concepts actually look like, rather than only how their formulas read.