Training materials
Contributors: Kaivan Kamali or Michael Ball or Michael Krone or Prof. Tom Freeman or Sergio Martínez Cuesta or Susan Coort
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semacu/20180223_ORCID_Chemistry_Cambridge
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semacu/20180531_DataVisualisationRggplot2_Wolfson_Cambridge
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semacu/20180726_TrainMalta_Unix_R
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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
Image classification in Galaxy with fruit 360 dataset
• beginnerStatistics and probability Statistics and machine learning -
hands-on tutorial
Deep Learning (Part 2) - Recurrent neural networks (RNN)
• beginnerStatistics and probability Statistics and machine learning -
slides
Recurrent neural networks (RNN) Deep Learning - Part 2
• beginnerStatistics and probability Statistics and machine learning -
hands-on tutorial
Deep Learning (Part 3) - Convolutional neural networks (CNN)
• beginnerStatistics and probability Statistics and machine learning
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