Machine Learning @ Sree Vidyanikethan Engineering College (Autonomous), Tirupathi

Participants Information

Participants:49
Speakers:4
Female participants:16
Male participants:33
Participants from SC/ST category:03
Research Scholars:None
Industry Participants:None

Lab Sessions

  • Classification and Clustering
  • Linear and Logistic Regression in R
  • Decision Trees in R
  • PCA in R

Topics Covered

  • Classification and Clustering
  • Principal Component Analysis
  • Neural Networks
  • R Programming
  • Bayesian Learning
  • Maximum Entropy Models
  • Linear Discriminant Analysis
  • Gaussian Mixture Models
  • Support Vector Machines
  • Deep Learning Models

Highlights

List of Speakers


Prof. C. Chandrasekhar, Professor, IIT Madras


Dr. R. B. V. Subramanyam, Associate Professor, NIT Warangal


Dr. G. Rammurthy, Associate Professor, IIIT Hyderabad


Dr. S. Nagesh Bhattu, Assistant Professor, IDRBT, Hyderabad


Feedback Summary

  • FDP was very informative, useful and research oriented.


  • Planning and coordination of the programme was excellent.


  • Sessions handled by Dr. R. B. V. Subramanyam and Dr. G. Rammurthy were good.

    • Suggestions from Participants

  • More time should be allotted for lab sessions