author keywords: Radars; Radar observations; Satellite observations; Forecasting techniques; Nowcasting; Operational forecasting; Artificial intelligence; Classification; Data science; Decision trees; Machine learning; Model interpretation and visualization; Regression; Support vector machines; Other artificial intelligence; machine learning

TL;DR: A survey of some of the most common machine learning methods in meteorology, including linear regression; logistic regression; decision trees; random forest; gradient boosted decision Trees; naive Bayes; and support vector machines is provided. (via Semantic Scholar)