Training materials
Scientific topics: Markov processes
and Contributors: Alex Botzki or Anatole Chessel or Björn Grüning or Celia van Gelder or Dr. Iain Milne or Jamie Edwards or Joachim Wolff or Kaivan Kamali or Manimozhiyan Arumugam or Marek Vrbacky or Martin Krzywinski or UC Davis Bioinformatics Core Training Page or Vicky Schneider or carpentries-incubator
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ucdavis-bioinformatics-training/2021-July-Genome-Wide-Association-Studies
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carpentries-incubator/statistical-thinking-public-health
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carpentries-incubator/machine-learning-novice-python
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carpentries-incubator/high-dimensional-stats-r
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carpentries-incubator/machine-learning-novice-sklearn
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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 -
hands-on tutorial
Deep Learning (Part 1) - Feedforward neural networks (FNN)
• beginnerStatistics and probability Statistics and machine learning
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