Understanding Decision Trees, Random Forests, Bagging and BoostingLast updated on Sat, May 22, 2021 1 min read Machine LearningUnderstanding Random Forests: From Theory to Practice https://arxiv.org/abs/1407.7502Machine Learning MLPak Shing HoEconomistMy research interests include macroeconomics, monetary and financial economics, and natural language processing (NLP).RelatedResources for deep learning interviewsAn overview of gradient descent optimization algorithmsReinforcement Learning ReadingsMachine Learning and Deep Learning InterpretabilityMacro Forecasting with Machine Learning