sleglaive/BayesianML
Bayesian methods for machine learning course at CentraleSupélec
This course material introduces individuals to Bayesian methods for machine learning. It covers how to use Bayesian models for data analysis to describe the underlying processes of complex data, such as medical images, audio signals, or text. Professionals who need to understand data and its uncertainties, like data scientists, researchers, or advanced analysts, would benefit from this resource.
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Use this if you want to understand and implement machine learning models that provide uncertainty estimates and can incorporate expert knowledge, particularly in fields like medical diagnosis or autonomous driving.
Not ideal if you are looking for a plug-and-play solution or do not have a foundational understanding of probability, statistics, and basic machine learning concepts.
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Jupyter Notebook
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AGPL-3.0
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Jul 13, 2022
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