AdaBoost

AdaBoost is one of those machine learning methods that seems so much more confusing than it really is. It's really just a simple twist on decision trees and ...

useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive This tutorial contains training modules for six popular supervised machine learning methods: Classification and Regression Trees (CART) Random Forests (RF)](random-forest) Gradient Boosting Machines (GBM) Generalized Linear Models (GLM) Deep Neural Networks (DNN) Stacking / Super Learner (SL) Here are some practical, related topics we will cover for each algorithm: Dimensionality Issues Sparsity Normalization Categorical Data Missing Data Class Imbalance Overfitting Software Scalability Instructions for how to install the necessary software for this tutorial is available here.