Online Fees


Online Fees


B Tech Admission Rank List and Counselling Schedule

Fdp on machine learning

Course Contents:

Introduction to Machine learning,Classification and Regression Problems

Non parametric density estimation and classification – Parzen Window, Nearest Neighbours

Dimensionality Reduction, PCA, FLD, Perceptron

Unsupervised Classification (K-Means, fuzzy C means Clustering), Clustering using Neural Network (SOM)

Need for Deep Learning, Potential/Successful Applications

Mathematical background on Convolutional Neural Networks

Mathematical background on Restricted Boltzmann Machine and Deep Belief Networks

Hands on sessions using the Machine learning tools.


For more visit   FDP SAINTGITS

Department Calendar

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