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

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.