Module: Machine Learning Approaches in Climate Science

A climate-themed tutorial on machine learning methods.

Prerequisite Modules

Python and Jupyter

Python and Jupyter

This module provides recommended readings and introductory tutorials on Python and Jupyter.

Learning Outcomes

You understand basic machine learning concepts

Readings

Preparation

A few things to check prior to this workshop

Experiential Learning

1. Scikit-Learn

A basic Scikit-learn tutorial using Gaussian Processes to model CO2 levels on Mauna Loa

2. Pytorch

Pytorch tutorial for timeseries prediction of solar irradiance in Manoa Valley

3. NLP Example

Demo using pretrained GPT model for NLP

Assessments

Help us assess this workshop

Provide feedback to the workshop organizers

Outcome(s) assessed: You understand basic machine learning concepts