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I've found Adele Cutler's presentation on random forests to be an outstanding resource for getting intuition of tree-based algorithms. http://www.math.usu.edu/
by iamnafets 9y ago
I've found Adele Cutler's presentation on random forests to be an outstanding resource for getting intuition of tree-based algorithms.
http://www.math.usu.edu/adele/RandomForests/UofU2013.pdf http://www.math.usu.edu/adele/RandomForests/UofU2013.pdf
Thinking about trees as a supervised recursive partitioning algorithm or a clustering algorithm is useful for problems that may not appear to be simple classification or regression problems.
- claytonjy 9y agoOn the topic of complementary resources, I really like Ben Gorman's explanation: https://gormanalysis.com/random-forest-from-top-to-bottom/ https://gormanalysis.com/random-forest-from-top-to-bottom/. His related posts on singular decisions trees and GBM's are just as good, too.
- lackadaisicall 9y agoI like this one better: https://web.csulb.edu/~tebert/teaching/lectures/551/random_forest.pdf https://web.csulb.edu/~tebert/teaching/lectures/551/random_f... I made it.