vault backup: 2026-05-21 19:44:14

Running Start/CSB320 - Machine Learning Concepts/Class 5-21 (Ensemble Models).md

@@ -46,4 +46,8 @@ bootstrap_samples = [
 	- base models fit iteratively, adjusting for previous error
 	- uses same training data without bootstrap sampling
 	- assigns higher weight to misclassified instances
+- gradient boosting
+	- tries to minimize the gradient (derivative of the loss function) in each iteration
+	- learning rate determines model update strength (step sizes)
+	- ![[GradientDescent.excalidraw]]
 	-