CSHS Workshop: Machine Learning For Streamflow Forecasting: A Primer for the Practitioner
This short workshop aims to demonstrate core machine learning (ML) concepts and show practitioners how they can be used for streamflow forecasting. The workshop will use interactive Colab notebooks to guide participants through the ML streamflow forecasting “pipeline”. The goal is for participants to obtain relevant experience and practical ML tools that can be translated into their practice.
Long Short-Term Memory networks (LSTMs) will be introduced and used to generate streamflow forecasts using open-source datasets. Topics will include data preprocessing, model training, and out-of-sample verification.
Facilitators: Dr. John Quilty and Dr. Mohammad Sina Jahangir
Date/Time: Friday, November 15th, 2024, 1 pm to 4 pm EST
Prerequisites: A laptop computer that can connect wirelessly to the internet. Gmail account for accessing Google Collab/Drive.