Training materials
Difficulty level: Intermediate
and Contributors: Saskia Hiltemann
and Related resources: Jupyter Notebook (with Solutions)
16 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
Python - Testing
•• intermediateSoftware engineering Foundations of Data Science jupyter-notebook -
e-learning
Python - Type annotations
•• intermediateSoftware engineering Foundations of Data Science jupyter-notebook -
e-learning
SQL with Python
•• intermediateSoftware engineering Foundations of Data Science Python SQL jupyter-notebook -
e-learning
Advanced CLI in Galaxy
•• intermediateSoftware engineering Foundations of Data Science bash jupyter-notebook -
e-learning
Conda Environments For Software Development
•• intermediateSoftware engineering Foundations of Data Science conda jupyter-notebook
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