Training materials
Scientific topics: Markov processes
and Authors: @posit-pbc or Bazante Sanders or Instituto Gulbenkian de Ciência or Kaivan Kamali or Simon Gladman or allegra.via Via
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wesm/pydata-book
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GTPB/ABSTAT18
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GTPB/PSLS20
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GTPB/PSLS22
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GTPB/PGDH19
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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
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