Subject Details
Dept     : CSE
Sem      : 5
Regul    : R2019
Faculty : Ms.S.R.Janani
phone  : NIL
E-mail  : jananiselvaraj.mit@gmail.com
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  • Assignment

    Assignment topic is Unit 2 and due date is .

  • Resource Link

    Dear Students the Resource Link has been uploaded for the following topics:
    bayesian-neural-network
    Fuzzy Logic and Neural Networks
    Unsupervised Machine Learning

  • Assignment

    Assignment topic is Unit 2 and due date is .

  • Assignment

    Assignment topic is Unit 2 and due date is .

  • Lecture Notes

    Dear Students the Lecture Notes has been uploaded for the following topics:
    Boosting and Additive Trees – Boosting Trees – Regularization – Interpretation – Illustrations,
    Boosting and Additive Trees – Boosting Trees – Regularization – Interpretation – Illustrations,
    Neural Networks – Fitting Neural Network - Bayesian Neural Net,
    Neural Network Representation – Problems – Perceptron ,
    Multilayer Networks

  • Lecture Notes

    Dear Students the Lecture Notes has been uploaded for the following topics:
    Shrinkage Methods – Derived Input Directions ,
    Shrinkage Methods – Derived Input Directions ,
    Linear Models for Classification- Discriminant Analysis ,
    Logistic Regression

  • Assignment

    Assignment topic is shrinkage method and due date is 13-03-2023.

  • Question Bank

    Dear Students the Question Bank has been uploaded for the following topics:
    all units

  • Puzzles

    Dear Students the Puzzles has been uploaded for the following topics:
    puzzles,
    puzzles

  • Assignment

    Assignment topic is Bayesian Neural Net and due date is 13-02-2023.

  • Assignment

    Assignment topic is Bayesian Neural Net and due date is 14-02-2023.

  • Youtube Video

    Dear Students the Youtube Video has been uploaded for the following topics:
    shrinkage method
    Bayesian Neural Net
    Machine Learning process
    EM Algorithm
    Model Based Learning

  • Lecture Notes

    Dear Students the Lecture Notes has been uploaded for the following topics:
    Introduction - Single State Case ,
    Elements of Reinforcement Learning,
    Model Based Learning ,
    EM Algorithm- Mixtures of Gaussians ,
    Self-organizing Map - Principal Components,
    Curves and Surfaces – Independent Component Analysis,
    Temporal Difference Learning–Generalization,
    Partially Observable States,
    Case Study: Healthcare Prediction,
    Machine Learning – perspective -Issues ,
    Machine Learning algorithms,
    Turning data into Probabilities, and Statistics for Machine Learning ,
    Examples of Machine Learning Applications ,
    Case Study: Handwriting Recognition,
    Back Propagation Algorithms,
    Neural Network Representation – Problems – Perceptron

  • Lecture Notes

    Dear Students the Lecture Notes has been uploaded for the following topics:
    Introduction - Association Rules ,
    Introduction - Association Rules ,
    Apriori Algorithm - Clustering- K-means

  • Question Bank

    Dear Students the Question Bank has been uploaded for the following topics:
    Question bank for all the unit

  • Puzzles

    Dear Students the Puzzles has been uploaded for the following topics:
    Introduction,
    Introduction

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