Machine Learning for Earth System Sciences

ABOUT THE COURSE: This course will start with a gentle recapitulation of relevant concepts of spatio-temporal statistics and data mining, following which it will take up the topics of earth system observations, earth system data analytics and earth system modeling in various domains, such as hydrology, climate and soil. INTENDED AUDIENCE: Final year undergraduate, Postgraduate and research students PREREQUISITES: Machine Learning (mandatory), Deep Learning (optional), a working idea of one or two domains in earth system sciences