Introduction to Machine Learning for Earth Observation for NCEO members
Introduction to Machine Learning course for NCEO members, which includes a range of accessible, online teaching resources aimed at helping you gain the knowledge and skills required to understand, assess, and run different Machine Learning (ML) algorithms.
About the course
Using the written materials, informative short videos, datasets, and dedicated computing resources that have been generated and provided for this course, NCEO members will learn to:
Access High Performance Computing (HPC) via the Massive Graphics Processing Unit Cluster for Earth Observation (MAGEO)
Load, process, and visualise optical satellite data using existing Jupyter Notebooks (Python)
Trial and compare the running of applications on the Central Processing Unit (CPU) and the Graphics Processing Unit (GPU), and why it may become important to your future work to have access to a GPU cluster for Machine Learning and Artificial Intelligence
Select and run machine learning models of increasing complexity, from Random Forest for classification to Neural Networks for Regression, to U-Net for Convolutional Neural Network classification