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    1. કોર્સીસ
    2. VTU THEORY
    3. VTU Sem 7
    4. Machine Learning syllabus
    5. Module-4 Bayesian Learning
    6. Bayesian Learning:

    EM algorithm

    Bayesian belief networks

    Naive Bayes classifier

    MDL principle

    ML for predicting probabilities

    ML and LS error hypothesis

    Bayes theorem and concept learning

    Bayes theorem

    Introduction

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