Artificial Intelligence and Machine Learning - Online Mode

Participants Information

Participants: 53
Speakers:07
Female participants:33
Male participants:20
Participants from SC/ST category:None
Research Scholars:None

Topics Covered

  • Introduction to Machine Learning and Applications
  • Introduction to Python
  • Working with Python
  • Linear Regression
  • Machine Learning Techniques: Multiple Linear Regression
  • Logistic Regression
  • Polynomial regression &K Nearest neighbor Algorithm
  • Colour Quantization using K-Means Clustering Algorithm
  • Support Vector Machine
  • Basic Neural Network and Back Propagation using Python
  • Convolution Neural network
  • Convolution Neural network& and Character recognition using Python
  • Recurrent Neural Networks
  • Implementation and Demonstration of Project Implementation Using Deep neural Networks
  • AI & ML Trends in Speech Systems
  • Speech Emotion
  • Introduction to Generative Adversarial Network
  • Generative Adversarial Network with application to Vocal Style transfer

Highlights

List of Speakers

Dr. J Ravi Kumar, Associate Professor, NIT Warangal


Mr. M. Vijay Kumar, NIT Warangal


Dr M. Srinivas, Assistant Professor, NIT Warangal


Mr. Adith, NIT Warangal


Dr Kadambari, Assistant Professor, NIT Warangal


Dr. Anil Uppala, Assistant Professor, IIIT Hyderabad


Dr.Swagatam Das, ISI Kolkata


Mr Ayush Utkarsh, Staff, ML Engineer, IBM

Feedback Summary

  • FDP was very informative.

  • The program was organized perfectly.

    • Suggestions from Participants

  • Participants requested to conduct more FDPs of this type.