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Overview
Module Details
Module Contents
Learning Outcomes
Resources
Notebooks
1. Introduction
2. Machine Learning Basics
3. Materials Data
4. Crystal Representations
5. Classical Learning
6. Deep Learning
7. Building a Model from Scratch
8. Accelerated Discovery
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