Training materials
Contributors: Prof. Tom Freeman or Martin Krzywinski or Andrea Argentini or Mateusz Kuzak or Patricia Palagi or John "Scooter" Morris or Dr. Simon Tomlinson or Emily Angiolini or Lieven Clement or Prof. Richard Baldock or Anup Kumar
-
hands-on tutorial
Hands-on for 'A Docker-based interactive Jupyterlab powered by GPU for artificial intelligence in Galaxy' tutorial
-
hands-on tutorial
Hands-on for 'Classification in Machine Learning' tutorial
-
hands-on tutorial
Hands-on for 'Regression in Machine Learning' tutorial
-
hands-on tutorial
Hands-on for 'Machine learning: classification and regression' tutorial
-
hands-on tutorial
Hands-on for 'Age prediction using machine learning' tutorial
-
hands-on tutorial
Hands-on for 'Basics of machine learning' tutorial
-
hands-on tutorial
Hands-on for 'Clustering in Machine Learning' tutorial
-
hands-on tutorial
Hands-on for 'Introduction to deep learning' tutorial
-
PSLS22 Practical Statistics for the Life Sciences
•• intermediate -
Documentation, Exercise, Handout, Scripts
PDA19 - Proteomics Data Analysis (2019)
•• intermediateProteomics Biological databases Mass spectrometry data