Training materials
Target audience: Any student, postdoc or RA who has an interest ... or Life Science Researchers or Life sciences or Policy makers or Students or project manager
and Authors: Kaivan Kamali or Maria Christina Maniou
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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
Plotting in Python
•• intermediateSoftware engineering Foundations of Data Science jupyter-notebook -
hands-on tutorial
Introduction to Python
• beginnerSoftware engineering Foundations of Data Science jupyter-notebook -
hands-on tutorial
Advanced Python
•• intermediateSoftware engineering Foundations of Data Science jupyter-notebook -
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 -
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
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