Training materials
Difficulty level: Not specified
and Contributors: Andrea Argentini or AstraZeneca or Janick Mathys or Kaivan Kamali or Matthias Fahrner or Praveen Kumar
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semacu/20180223_ORCID_Chemistry_Cambridge
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semacu/20180726_TrainMalta_Unix_R
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semacu/20180531_DataVisualisationRggplot2_Wolfson_Cambridge
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semacu/20190927_IntroductionGithub_HDRUK
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semacu/20171024_GitHub_Chemistry_Cambridge
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semacu/20181003_Intro_git_GitHub
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hands-on tutorial
Hands-on for 'Image classification in Galaxy with fruit 360 dataset' tutorial
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hands-on tutorial
Hands-on for 'MaxQuant and MSstats for the analysis of TMT data' tutorial
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hands-on tutorial
Hands-on for 'Deep Learning (Part 2) - Recurrent neural networks (RNN)' tutorial
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slides
Slides for 'Recurrent neural networks (RNN) Deep Learning - Part 2' tutorial
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