ENVIRONMENTAL DATA ANALYTICS

Catalog description

Environmental data exponentially grow in both volume and dimension. Analyzing those big data requires innovative methods from modern statistics and machine learning. This course aims to arm students with statistical and machine learning skills to analyze environmental data. This course covers linear models, tree-based models, support vector machines, deep learning, and unsupervised learning, but concentrates on their applications to environmental data (e.g., satellite imagery) through (1) regression; (2) classification; (3) unsupervised learning; and (4) time series analysis. After completing this course, students are expected to be fluent in environmental big data and modern machine learning algorithms. 002002