AdaBoost: Decision StumpsExplores AdaBoost with decision stumps, discussing error rules, stump selection, and the need for a bias term.
Advanced Machine Learning: BoostingCovers weak learners in boosting, AdaBoost algorithm, drawbacks, simple weak learners, boosting variants, and Viola-Jones Haar-Like wavelets.
Boosting: Adaboost AlgorithmCovers boosting with a focus on the Adaboost algorithm, forward stagewise additive modeling, and gradient tree boosting.
Decision Trees and BoostingIntroduces decision trees as a method for machine learning and explains boosting techniques for combining predictors.
Decision Trees and BoostingExplores decision trees in machine learning, their flexibility, impurity criteria, and introduces boosting methods like Adaboost.
Introduction to Data ScienceIntroduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
