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Dept     : ECE
Sem      : 5
Regul    : 2019
Faculty : M.Bhuvaneswari
phone  : NIL
E-mail  : bhuvanamohan.m@gmail.om
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  • Lecture Notes

    Dear Students the Lecture Notes has been uploaded for the following topics:</br>The Brain and The Neuron, </br>Perceptron-Training the perceptron, </br>Perceptron Learning Algorithm, </br>Multilayer Perceptron, </br>Back Propagation Dimensionality Reduction

  • Lecture Notes

    Dear Students the Lecture Notes has been uploaded for the following topics:</br>Decision Tree based methods for classification and Regression Ensemble methods, </br>Decision Tree based methods for classification and Regression Ensemble methods, </br>Classification: Bayesian Decision Theory parametric and non-parametric methods, </br>Clustering-K-means clustering, </br>Principal Component Analysis, </br>Hierarchical Clustering

  • Assignment

    Assignment topic is Assignment Update and due date is .

  • Lecture Notes

    Dear Students the Lecture Notes has been uploaded for the following topics:</br>Convolutional Networks, </br>Recurrent Neural Networks, </br>Bidirectional RNNs, </br>Deep Recurrent Networks, </br>Recursive Neural Networks

  • Youtube Video

    Dear Students the Youtube Video has been uploaded for the following topics:</br>Linear regression</br>k- nearest neighbour

  • Assignment

    Assignment topic is Linear regression and due date is 17-09-2024.

  • Resource Link

    Dear Students the Resource Link has been uploaded for the following topics:</br>Terminology- weight space</br>Decision trees</br>Linear regression</br>k- nearest neighbour</br>Machine learning

  • Lecture Notes

    Dear Students the Lecture Notes has been uploaded for the following topics:</br>Definition of learning systems Goals and applications of machine learning, </br>Types of Machine Learning Machine Learning Process, </br>Terminology-Weight Space, </br>The Curse of Dimensionality, </br>Testing Machine Learning Algorithms, </br>Regression: Linear Regression , </br>Parametric Models- Multivariate Regression Regression:, </br>Classification: Bayesian Decision Theory parametric and non-parametric methods, </br>Multivariate Classification Logistic Regression, </br>K-Nearest Neighbor classifier, </br>Decision Tree based methods for classification and Regression Ensemble methods

  • Puzzles

    Dear Students the Puzzles has been uploaded for the following topics:</br>Testing Machine Learning Algorithms, </br>Regression: Linear Regression

  • Question Bank

    Dear Students the Question Bank has been uploaded for the following topics:</br>Definition of learning systems Goals and applications of machine learning, </br>Definition of learning systems Goals and applications of machine learning