Subject Details
Dept     : AIML
Sem      : 4
Regul    : 2023-2024
Faculty : Ms S Rajarajeswari
phone  : 9488704705
E-mail  : rajarajeswari.s.aiml@snsct.org
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  • Lecture Notes

    Dear Students the Lecture Notes has been uploaded for the following topics:
    Clustering- K-means,
    EM Algorithm,
    Linear Discriminant Analysis, Factor Analysis,
    Principal Components Analysis,
    Mixtures of Gaussians,
    Q Learning Algorithm,
    Elements of Reinforcement Learning

  • Lecture Notes

    Dear Students the Lecture Notes has been uploaded for the following topics:
    Machine Learning,Types of Machine Learning –Machine Learning process

  • Lecture Notes

    Dear Students the Lecture Notes has been uploaded for the following topics:
    Ensemble Methods, Bagging, Boosting.,
    Bayesian Learning, Naïve Bayes,
    Neural Network Representation,
    Machine Learning,Types of Machine Learning –Machine Learning process,
    Linear Models for Regression,
    Decision Tree Learning ,
    Perceptron – Multilayer Networks,
    Discriminant Functions, Probabilistic Generative Models, Probabilistic Discriminative Models

  • Lecture Notes

    Dear Students the Lecture Notes has been uploaded for the following topics:
    Machine Learning algorithms,
    Discriminant Functions, Probabilistic Generative Models, Probabilistic Discriminative Models,
    Ensemble Methods, Bagging, Boosting.