Showing 13 - 24 of 64 results
Making ERA5 Machine Learning ready

Making ERA5 Machine Learning ready

Harrison Cook takes you along the ERA5 data and explains how to make it a ML ready, using an ERA5 inspired notebook...
Attention and sequence modelling

Attention and sequence modelling

Matthias Karlbauer introduces Transformer neural network, from the architecture to its use in society and for climate...
Generative modelling of atmospheric fields

Generative modelling of atmospheric fields

Sophie Xhonneux introduces deep generative models, covering core concepts and two key approaches and why they matter for...
Neural Networks for Deep Learning

Neural Networks for Deep Learning

Mario Santa Cruz Lopez walks through the fundamentals of neural networks and deep learning — from neurons and layers to...
Self supervised representation learning

Self supervised representation learning

Christian Lessig, Team lead for ML modelling at ECMWF, unpacks self-supervised learning exploring why it has become...
Graph Neural Networks

Graph Neural Networks

Mario Santa Cruz explains the core principals of Graph Neural Networks (GNN), the different kinds of GNNs and its...
Convolutional Neural Networks for Gridded Data

Convolutional Neural Networks for Gridded Data

Maria Luisa Taccari introduces convolutional neural networks, explaining why they are more efficient than standard...
How Machine Learning Is Reshaping Earth-System Prediction

How Machine Learning Is Reshaping Earth-System Prediction

Peter Dueben, Head of Earth System Modelling at ECMWF, explores how machine learning is revolutionising weather and...
MOOC - Understanding of Neural network training and hyperparameter tuning

MOOC - Understanding of Neural network training and hyperparameter tuning

Jesper Dramsch will cover a final important aspect in Machine learning, training the models and hyperparameter tuning to...