Machine Learning Applications in Electronics and Communication Engineering - Online Mode

Participants Information

Participants:	56
Speakers:	08
Female participants:	15
Male participants:	41
Participants from SC/ST category:	0
Research Scholars:	0

Topics Covered

• Over view of Machine learning Algorithms
• Anaconda IDE Installation and Python programming
• Linear regression and Multiple Linear regression and Applications
• Implementation of Simple and Multiple Regression using python programming
• K-means Clustering algorithm and Image quantization
• K-means Clustering algorithm and implementation using python programming
• Introduction to Deep Neural Network
• Implementation of ANN for classification using python
• Convolutional Neural Network And Digit recognition
• Implementation of CNN for digit recognition Using Python
• Machine Learning for speech processing
• Adaptive Signal Processing & ML for Hearing Aids
• Deep learning for speech processing
• Support Vector Machines
• K Nearest Neighbour Algorithm
• Recurrent Neural Networks
• Applications of Deep learning Algorithms in Image Processing
• Applications of Machine Learning in Communications
• Applications of machine Learning in Embeddedsystems /VLSI
• Introduction to Generative Adversial Networks
• Generative Adversarial Networks

List of Speakers

Dr. Ravi Kumar Jatoth, Associate Professor, NIT Warangal

Dr. M. Srinivas, Assistant Professor, NIT Warangal

Dr. Kadambari, Assistant Professor, NIT Warangal

Dr. Swagatam Das, Associate Professor, Indian Statistical Institute, Kolkata

Dr Anil kumar vuppala, Assocaite Professor, IIIT Hyderabad

Mr Ahdit B, NIT Warangal

Prof. Bhurchandi, Professor, VNIT Nagpur

Dr Rama Krishan Sai Gorti, IIT Tirupati

Feedback Summary

FDP was very informative and qualitative.

The program was organized perfectly.

Suggestions from Participants

Participants requested to conduct more FDPs of this type.

Participants requested to conduct more Hands on Sessions.