Mathematical Relevance to Artificial Intelligence and Machine Learning - Online Mode

Participants Information

Participants: 69
Speakers:09
Female participants:26
Male participants:43
Participants from SC/ST category:0
Research Scholars:0

Topics Covered

  • Effective Online Teaching Methodologies
  • Python
  • Mathematics of Machine Learning
  • Probability and Statistics for ML
  • Linear Regression
  • Polynomial Regression, Logistic Regression
  • SVM
  • Multi-class SVM
  • Hidden Markov Models
  • Decision Trees
  • Artificial Neural Networks
  • Clustering
  • Ensemble Learning
  • Feature Selection
  • Bayesian Learning
  • Dimensionality Reduction
  • Reinforcement Learning
  • Evolutionary Algorithms

Highlights

List of Speakers

Prof. Sunder, IIT Madras

Prof. R B V Subramanyam, NIT Warangal

Dr. M. Srinivas, NIT Warangal

Prof. Bapi Raju, IIIT Hyderabad

Prof. R. S. Hegadi, Central University of Karnataka

Dr. Sanjaya Kumar Panda, NIT Warangal

Dr. M. Sandhya, NIT Warangal

Dr.Balaprakasa Rao Killi, NIT Warangal

Dr.Venkateswara Rao Kagita, NIT Warangal

Feedback Summary

  • FDP was very informative.


  • The program was organized perfectly.

    • Suggestions from Participants

  • Participants requested to conduct more FDPs of this type.