Introduces the Naive Bayes classifier, covering independence assumptions, conditional probabilities, and applications in document classification and medical diagnosis.
Explores post-translational modifications and folding processes in the endoplasmic reticulum, using examples like the influenza virus and protein misfolding diseases.
Explores branching processes in networks, genealogy, and avalanche of activity, discussing cluster size distribution in MF percolation.
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