Training materials
Scientific topics: Descriptive statistics
and Contributors: Eija Korpelainen or Janick Mathys or Joachim Wolff or Kaivan Kamali or Martin Krzywinski or Robert Andrews
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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 1) - Feedforward neural networks (FNN)
• 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 -
slides
Image classification in Galaxy with fruit 360 dataset
• beginnerStatistics and probability Statistics and machine learning -
slides
Convolutional neural networks (CNN) Deep Learning - Part 3
• beginnerStatistics and probability Statistics and machine learning -
slides
Feedforward neural networks (FNN) Deep Learning - Part 1
• beginnerStatistics and probability Statistics and machine learning -
Bioinformatics Summer School 2019
•• intermediateProteomics RNA-Seq Omics Statistics and probability Data handling