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Bayesian Networks - Notebook Assessment SDD 2020

Bayesian Networks are introduced within the Jupyter Notebook in comparison with the Naive Bayes model theory. A determinist approach concerning probabilistic approach shows the pomegranate library performance. Then digits with missing pixels are re-built using Bayesian Networks learnt from the original dataset.

Bayesian Networks (as Hidden Markov Models) can help transcript audio files. The Speech recognition library from Google illustrates the transcription on a Youtube video.

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SDD Notebook 2020 Project

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