HS
Hydrological Sciences

Sanika Baste

PhD candidate at Institute of Water and Environment, Karlsruhe Institute of Technology, Karlsruhe, Germany. Research focus on data-driven rainfall–runoff modeling and current work involves developing a better understanding of how neural networks make rainfall-runoff simulations, especially in the case of hydrological extrapolation.

How to Keep Up with ML Developments – A Few Hints

How to Keep Up with ML Developments – A Few Hints

Keeping up with current Machine Learning (ML) developments in hydrology can seem like a never-ending game of catch-up! Instead of drowning yourself in a heap of scientific publications, here are a few practical hints to help you stay ahead in the ever-evolving intersection of ML and hydrology. Hint 1: Surround Yourself with Experts and Like-Minded ML Enthusiasts When questioned about how they keep ...[Read More]