Subject
3 entries
Ensemble Methods
Bookmarks
Random Forest — MLU-Explain
MLU-Explain's visual, interactive introduction to the Random Forest algorithm — animated trees, bootstrap sampling, and feature importance built into the browser. Part of Amazon's ML University series of interactive learning tools.
Gradient Boosted Decision Trees
An illustrated explainer of gradient boosted decision trees — how sequential weak learners correct prior errors by fitting residuals, and how this connects to gradient descent. Covers regression, binary classification, and multi-class variants.
Random Forests Algorithm
An introduction to the Random Forests algorithm — explaining how ensembling many decorrelated decision trees reduces variance and produces a robust classifier. A standard explainer from the Data Science Central era.