Training materials
Scientific topics: Bayesian methods
and Contributors: Christine Balmer, UKCEH or Dr. Iain Milne or Dr. Roland Schwarz or Florian Christoph Sigloch or Kaivan Kamali or Markus Englund or posit-conf-2023
-
posit-conf-2023/forecasting
-
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