regression
Everything on Ground Truth tagged “regression” — 3 items.
Linear regression and least squares: learning a numerical prediction from weighted evidence Lesson
Linear regression predicts a number from weighted inputs, while least squares fits the weights by penalizing large prediction errors and leaves causal interpretation to a separate argument.
Decision trees: learning a prediction by asking a sequence of questions Lesson
A decision tree learns a sequence of feature-based questions that divides examples into groups and assigns a prediction to each final group.
Tabular foundation models: teaching one model to understand many spreadsheets Lesson
A tabular foundation model is pretrained across many synthetic or real table problems so it can make useful predictions on a new spreadsheet with little or no per-dataset training.