AI & Machine Learning For Real Time Applications @ RGUKT Srikakulam, Andhra Pradesh

Participants Information

Participants:	42
Speakers:	04
Female participants:	21
Male participants:	21
Participants from SC/ST category:	11
Research Scholars:	NIL

Lab Sessions

• Applications of Support Vector Machine
• Applications of Convolutional Neural Network
• Applications of Deep Neural Networks in Visual computing

Topics Covered

• Introduction to AI & Machine learning and installation of Anaconda IDE
• Python Programming
• Linear regression Analysis and implementation of Linear regression using Python Programming
• Multiple and Polynomial Regression Analysis
• Implementation of Multiple and Polynomial Regression using Python Programming
• K-means Clustering algorithm and implementation using Python Programming
• Support Vector machine
• Implementation of Support Vector Machine
• Introduction to Artificial Neural Network and Convolutional Neural Network
• Recurrent Neural Networks and Applications
• Introduction to Deep Neural Networks
• Generative Adversial Networks - basic Principles
• Introduction to Generative Adversial Networks - cost functions and DCGAN
• How to publish research papers in SCI Journals
• Jaya Algorithm and Teacher Learning Based Algorithm

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, Assistant Professor, NIT-Warangal

Feedback Summary

Excellent hands on session and session regarding publications was very useful.

Very good and useful program for basic learners on Machine Learning.

All the sessions were good enough to motivate towards the research work.

Suggestions from Participants

Required more hands on sessions, for more practical approach.

The course material of the sessions should be given before completion of the session.

It would be better if the topics delivered slowly and clearly.