Machine Learning – Recent Trends and Applications @ G. Narayanamma Institute of Technology & Science (for Women), Hyderabad

Participants Information

Participants:	71
Speakers:	06
Female participants:	54
Male participants:	17
Participants from SC/ST category:	07
Research Scholars:	None
Industry participants:	None

Lab Sessions

• Classification
• R Programming
• Clustering

Topics Covered

• Overview of Machine Learning
• Classification and Clustering
• Principal Component Analysis
• Neural Networks, Bayesian Learning
• Maximum Entropy Models
• Sophistication of Systems and Role of Machine Learning
• Support Vector Machines
• Deep Learning Models

List of Speakers

Dr. G. Rama Murthy Associate Professor, IIIT Hyderabad

Dr. R. B. V. Subramanyam, Associate Professor, NIT Warangal

Dr. S. Nagesh Bhattu, Assistant Professor, IDRBT, Hyderabad

Prof. C. Raghavendra Rao, Professor, HCU Hyderabad

Prof. C. Chandrasekhar, Professor, IIT Madras

Dr. M. Seetha, Professor, GNITS, Hyderabad

Feedback Summary

FDP was very useful to the participants who are aspiring for Ph.D.

Motivation was given to rethink and deduce without just copying the existing examples.

Mathematical models were clearly focussed and explained.

Lab Sessions were very effective.

Suggestions from Participants

Knowledge about basics is required before each session especially for mathematical concepts.

More hands on sessions are required.