Machine Learning Approaches in Climate Science
This FREE workshop is sponsored by the University of Hawai’i Information Technology Service Cyberinfrastructure group and Hawaii Data Science Institute (HI-DSI)
This workshop will focus on machine learning for timeseries data with the most popular data science tools: Python, Scikit-Learn, and Pytorch.
Familiarity with python is recommended
By the end of this workshop attendees will be able to:
Understand the workflow for modeling scientific data with machine learning.
Understand key machine learning methods for modeling time-series and geospatial data.
Experience with common python software packages for applying machine learning.
Tools Used for this workshop
- Jupyter notebooks
- Scikit learn
Information and Computer Science, UHM