AIMLWG/AIML-tutorials
Repository for containing the tutorial series for the AI/ML working group
This resource offers a collection of tutorials that explain fundamental concepts and techniques in artificial intelligence and machine learning. You'll find practical examples and explanations for various data types, from basic numerical data to more complex scenarios like image classification. It's designed for researchers and scientists at Brookhaven National Laboratory (and beyond) who want to learn how to apply AI/ML methods to their work.
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Use this if you are a researcher or scientist looking for clear, practical tutorials to understand and implement AI/ML techniques for data analysis, modeling, or prediction.
Not ideal if you are looking for a comprehensive, production-ready AI/ML framework or a resource focused solely on theoretical computer science without practical application.
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Jupyter Notebook
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BSD-3-Clause
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Last pushed
Jun 26, 2024
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