e-Learning
Scientific topics: Bayesian methods
and Contributors: Saskia Hiltemann
and Resource type: e-learning
23 e-learning materials found
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e-learning
Deep Learning (without Generative Artificial Intelligence) using Python
•• intermediateStatistics and probability Statistics and machine learning ai-ml elixir jupyter-notebook work-in-progress -
e-learning
Generative Artificial Intelligence and Large Langage Model using Python
•• intermediateStatistics and probability Statistics and machine learning ai-ml elixir jupyter-notebook work-in-progress -
e-learning
Regulations/standards for AI using DOME
•• intermediateStatistics and probability Statistics and machine learning ai-ml elixir -
e-learning
Foundational Aspects of Machine Learning using Python
•• intermediateStatistics and probability Statistics and machine learning ai-ml elixir jupyter-notebook -
e-learning
Neural networks using Python
•• intermediateStatistics and probability Statistics and machine learning ai-ml elixir jupyter-notebook work-in-progress -
e-learning
Text-Mining Differences in Chinese Newspaper Articles
• beginnerStatistics and probability Digital Humanities text mining -
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
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
Introduction to Machine Learning using R
•• intermediateStatistics and probability Statistics and machine learning interactive-tools -
e-learning
Text-mining with the SimText toolset
• beginnerStatistics and probability Statistics and machine learning interactive-tools