Training materials
Keywords: Statistics and machine learning
and Target audience: Students
and Contributors: Helena Rasche
18 materials found
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e-learning
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 -
e-learning
Supervised Learning with Hyperdimensional Computing
•• intermediateStatistics and probability Statistics and machine learning -
e-learning
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 -
e-learning
PAPAA PI3K_OG: PanCancer Aberrant Pathway Activity Analysis
• beginnerStatistics and probability Machine learning Pan-cancer Statistics and machine learning cancer biomarkers oncogenes and tumor suppressor genes -
e-learning
Regression in Machine Learning
• beginnerStatistics and probability Statistics and machine learning -
e-learning
Classification in Machine Learning
• beginnerStatistics and probability Statistics and machine learning -
e-learning
Text-mining with the SimText toolset
• beginnerStatistics and probability Statistics and machine learning interactive-tools -
e-learning
Machine learning: classification and regression
• beginnerStatistics and probability Statistics and machine learning -
e-learning
Interval-Wise Testing for omics data
• beginnerStatistics and probability Statistics and machine learning -
e-learning
Introduction to Machine Learning using R
•• intermediateStatistics and probability Statistics and machine learning interactive-tools
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