Space training opportunities

627 training opportunities for the UK and European space sectors, last updated 8 October 2024. Curated by Space Skills Alliance.

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    Deep Learning for Mapping

    MOOC (Online) by AI.Geolabs · Free

    This course provides guidelines on implementing deep learning-based semantic segmentation to detect or map urban features such as building footprints and roads. We are going to use VHR imagery for mapping the urban elements. This course consists of two labs. Lab 1 will focus on instance segmentation using Mask-RCNN on a local machine (CPU or GPU), while lab two will focus on instance segmentation using Mask-RCNN on a Google Colab.

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    Data-centric Explainable Machine Learning for Land Cover Mapping

    MOOC (Online) by AI.Geolabs · Free

    In this course, explainable machine learning refers to the extent to which the underlying mechanism of a machine learning model can be explained (Biecek and Burzykowski 2020). That is, explainable machine learning models allow us (humans) to explain what the model learned and how it made predictions (post-hoc). Note this is different from interpretable machine learning (e.g., linear and logistic regression models), which refers to the extent to which a cause and effect are observed within a model (Molnar 2019).

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