MetOffice / MetOffice/ml_weather_tutorial
section 3 - understanding and selecting algorithms
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Material Outline for notebook #3
* Introducing Radiation Emulation Dataset
* Overview (topoography) of machine learning algorithms/techniques
* Decision Trees and Derivatives
* Neural Networks
* How they are trained
* Common Architectures (FF, CNN, LSTM, GNN)
Overview of Metrics
* Classification
* Regression
Misc
* GAN
* Reinforcement Learning
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