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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
.pdf
Introducing ESEm
Introducing ESEm
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