Training materials
Resource type: hands-on tutorial
and Contributors: Andrea Argentini or Anup Kumar or Dr. Simon Tomlinson or Espen Aberg or John "Scooter" Morris or Martin Krzywinski or Mateusz Kuzak or Patricia Palagi or Prof. Tom Freeman or rstudio::conf(2022)
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hands-on tutorial
Hands-on for 'A Docker-based interactive Jupyterlab powered by GPU for artificial intelligence in Galaxy' tutorial
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hands-on tutorial
Hands-on for 'Classification in Machine Learning' tutorial
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hands-on tutorial
Hands-on for 'Regression in Machine Learning' tutorial
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hands-on tutorial
Hands-on for 'Machine learning: classification and regression' tutorial
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hands-on tutorial
Hands-on for 'Age prediction using machine learning' tutorial
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hands-on tutorial
Hands-on for 'Basics of machine learning' tutorial
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hands-on tutorial
Hands-on for 'Clustering in Machine Learning' tutorial
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hands-on tutorial
Hands-on for 'Introduction to deep learning' tutorial