Training materials
Scientific topics: Probabilistic graphical model
and Contributors: @posit-pbc or Anup Kumar or Canadian Bioinformatics Workshops or Emily Angiolini or Felix Almonte or Michael Ball or Ms. Sejal Modha or Prof. Tom Freeman or Sergio Martínez Cuesta
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wesm/pydata-book
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bioinformatics-ca/MLE_2021
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hands-on tutorial
A Docker-based interactive Jupyterlab powered by GPU for artificial intelligence in Galaxy
• beginnerStatistics and probability Statistics and machine learning deep-learning image-segmentation interactive-tools jupyter-lab machine-learning protein-3D-structure -
hands-on tutorial
Classification in Machine Learning
• beginnerStatistics and probability Statistics and machine learning -
hands-on tutorial
Regression in Machine Learning
• beginnerStatistics and probability Statistics and machine learning -
hands-on tutorial
Machine learning: classification and regression
• beginnerStatistics and probability Statistics and machine learning -
hands-on tutorial
Age prediction using machine learning
• beginnerStatistics and probability Statistics and machine learning -
hands-on tutorial
Basics of machine learning
• beginnerStatistics and probability Statistics and machine learning -
hands-on tutorial
Clustering in Machine Learning
• beginnerStatistics and probability Statistics and machine learning -
hands-on tutorial
Introduction to deep learning
• beginnerStatistics and probability Statistics and machine learning