Subject Details
Dept     : CSE
Sem      : 5
Regul    : 2019
Faculty : Jacquelin Anushya
phone  : NIL
E-mail  : janushya.p.cse@snsct.org
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  • Lecture Notes

    Dear Students the Lecture Notes has been uploaded for the following topics:
    Machine Learning – perspective – Issues - Examples of Machine Learning Applications ,
    Types of Machine Learning ,
    Machine Learning process- preliminaries, testing ,
    Machine Learning algorithms,
    turning data into Probabilities, and Statistics for Machine Learning,
    Probability theory -Bayesian Decision Theory.,
    Introduction - Linear Models for Regression – Linear Regression Models and Least Squares ,
    Subset Selection – Shrinkage Methods,
    Machine Learning – perspective – Issues - Examples of Machine Learning Applications

  • Lecture Notes

    Dear Students the Lecture Notes has been uploaded for the following topics:
    Unsupervised Learning - Introduction,
    Association rules,
    Apriori Algorithm,
    K- means,
    Guassian Mixture,
    Self Organising Maps,
    Independent Component Analysis,
    Reinforcement Introduction,
    Model based Learning,
    Temporal Difference Learning,
    Generalization

  • Resource Link

    Dear Students the Resource Link has been uploaded for the following topics:
    introduction to machine learning
    logistic regression
    machine learning and deeplearning

  • Lecture Notes

    Dear Students the Lecture Notes has been uploaded for the following topics:
    bayesian neural net,
    regularization,
    interpretation,
    fitting neural network,
    boosting,
    neural network representation,
    multilayer networks

  • Youtube Video

    Dear Students the Youtube Video has been uploaded for the following topics:
    Unsupervised Learning | Unsupervised Learning Algorithms | Machine Learning Tutorial | Simplilearn
    Reinforcement Learning | Reinforcement Learning In Python | Machine Learning Tutorial | Simplilearn

  • Assignment

    Assignment topic is Apriori Algorithm and due date is 04-03-2023.

  • Assignment

    Assignment topic is Linear models for classification and due date is 04-03-2023.

  • Puzzles

    Dear Students the Puzzles has been uploaded for the following topics:
    Machine Learning,
    Deep Learning

  • Question Bank

    Dear Students the Question Bank has been uploaded for the following topics:
    Machine Learning – perspective – Issues - Examples of Machine Learning Applications – Types of Machine Learning –Machine Learning process- preliminaries, testing Machine Learning algorithms, turning data into Probabilities, and Statistics for Machine Learning, Probability theory -Bayesian Decision Theory.,
    Introduction - Linear Models for Regression – Linear Regression Models and Least Squares – Subset Selection – Shrinkage Methods – Derived Input Directions - Linear Models for Classification- Discriminant Analysis – Logistic Regression – Separating Hyper planes.,
    Boosting and Additive Trees – Boosting Trees – Regularization – Interpretation – Illustrations -Neural Networks – Fitting Neural Network - Bayesian Neural Net - Neural Network Representation – Problems – Perceptron – Multilayer Networks and Back Propagation Algorithms. Case Study: Handwriting Recognition,
    Introduction - Association Rules – Apriori Algorithm - Clustering- K-means – EM Algorithm- Mixtures of Gaussians - Self-organizing Map - Principal Components, Curves and Surfaces – Independent Component Analysis. Case Study: Weather prediction,
    Introduction - Single State Case - Elements of Reinforcement Learning – Model Based Learning - Temporal Difference Learning – Generalization - Partially Observable States. Case Study: Healthcare Prediction.

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