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Deep Learning for Geo and Environmental Science
Setting up your Python environment
Introduction to ML
Overview of the course
Data collection and preparation
Feature engineering
Supervised Learning - Regression
Linear Regression Recap
Random Forests
Neural Networks
Gaussian Process Regression
Introducing ClimateBench
Introducing ESEm
(Exercises) ClimateBench exercises
Model Evaluation and Validation
Supervised Learning - Classification
CNNs for classification
Supervised Learning - Object Detection
Object Detection
Unsupervised Learning
Clustering
Dimensionality Reduction
Contrastive learning
Advanced Topics
Generative Models
Large Language Models
Why does Deep Learning Work?!
Repository
Open issue
.ipynb
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Introducing ClimateBench
Introducing ClimateBench
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