Subject
2 entries
Decision Trees
Bookmarks
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.
A Visual Introduction to Machine Learning
A scrollytelling visual explanation of decision trees by Stephanie Yee and Tony Chu — widely considered one of the best examples of data visualization as pedagogy. It makes the algorithm's splitting logic tangible without any math.