Machine learning - Random forests
Random forests, aka decision forests, and ensemble methods. Slides available at: http://www.cs.ubc.ca/~nando/540-2013/... Course taught in 2013 at UBC by Nando de Freitas
▶︎
Machine learning - Random forests applications
▶︎
Lecture 9 - Decision Trees and Ensemble Methods | Stanford CS229: Machine Learning (Autumn 2018)
▶︎
MIT: Machine Learning 6.036, Lecture 12: Decision trees and random forests (Fall 2020)
▶︎
Machine Learning Lecture 31 "Random Forests / Bagging" -Cornell CS4780 SP17
▶︎
Machine learning - Bayesian optimization and multi-armed bandits
▶︎
Trevor Hastie - Gradient Boosting Machine Learning
▶︎
11. Introduction to Machine Learning
▶︎
Machine learning - Introduction to Gaussian processes
▶︎
Decision and Classification Trees, Clearly Explained!!!
▶︎
ML Tutorial: Gaussian Processes (Richard Turner)
▶︎
Machine learning - Importance sampling and MCMC I
▶︎
Lecture 01 - The Learning Problem
▶︎
The Strange Math That Predicts (Almost) Anything
▶︎
Machine learning - Decision trees
▶︎
17. Learning: Boosting
▶︎
Machine learning - Gaussian processes
▶︎
Lecture 1 | Machine Learning (Stanford)
▶︎
All Machine Learning Models Clearly Explained!
▶︎
16. Learning: Support Vector Machines
▶︎