Training materials
Scientific topics: Statistics
and Authors: @posit-pbc or Anup Kumar or Christine Staiger or Daniel Blankenberg or Marta Lloret Llinares or Nicola Soranzo
-
hands-on tutorial
Fine tune large protein model (ProtTrans) using HuggingFace
• beginnerStatistics and probability Statistics and machine learning deep-learning dephosphorylation-site-prediction fine-tuning interactive-tools jupyter-lab machine-learning -
wesm/pydata-book
-
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
Regression in Machine Learning
• beginnerStatistics and probability Statistics and machine learning -
hands-on tutorial
Classification 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
Text-mining with the SimText toolset
• beginnerStatistics and probability Statistics and machine learning interactive-tools -
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
- 1
- 2