Machine Learning @ NIT Warangal

Participants Information

Participants: 44
Speakers:06
Female participants:20
Male participants:24
Participants from SC/ST category:06
Research Scholars:06
Industry Participants:01

Lab Sessions

  • ANNs, GAs
  • Decision Trees, Clustering
  • Deep Learning

Topics Covered

  • Introduction to ML
  • Decision Tree Learning
  • Perceptron
  • Adaline
  • Back Prop. learning with FFNN
  • Clustering
  • Genetic Algorithms
  • Instance Based Learning
  • Regression Techniques
  • Reinforcement Learning
  • Deep Learning applications
  • Support Vector Machines
  • Deep Learning Models
  • Bayesian Learning

Highlights

List of Speakers

Prof. C. Chandra Sekhar, Professor, IIT Madras


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


Dr. T. Ramakrishnudu, Assistant Professor, NIT Warangal


Dr. K. V. Kadambari, Assistant Professor, NIT Warangal


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


Prof. S. G. Sanjeevi, Professor, NIT Warangal


Feedback Summary

  • FDP was very informative, useful and research oriented.

  • Resource Persons are the major highlight of the programme.

  • Planning of the programme was excellent.

    • Suggestions from Participants

  • More lab sessions should be included.