Machine Learning @ NMAM Institute Of Technology, Mangalore, Karnataka

Participants Information

Participants:	46
Speakers:	06
Female participants:	15
Male participants:	31
Participants from SC/ST category:	None
Research Scholars:	None
Industry Participants:	None

Lab Sessions

• Classification and Clustering
• Linear and Logistic Regression in R
• Decision Trees in R
• PCA in R

Topics Covered

• Classification and Clustering
• Principal Component Analysis
• Neural Networks
• R Programming
• Bayesian Learning
• Maximum Entropy Models
• Linear Discriminant Analysis
• Gaussian Mixture Models
• Support Vector Machines
• Deep Learning Models

List of Speakers

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

Dr. G. Rammurthy, Associate Professor, IIIT Hyderabad

Dr. A. D. Dileep, IIT, Mandi

Mr. P. Gururaja Rao, Multi Corewave, Chennai

Mr. Vengatesvaran, Multi Corewave, Chennai

Dr. Gokul Swamy, Amazon

Feedback Summary

FDP was very informative, useful and research oriented.

Experts from different institutes and organizations were invited to deliver the lectures.

Planning and coordination of the programme was excellent.

Sessions handled by Dr. R. B. V. Subramanyam and Dr. G. Rammurthy were good.

Suggestions from Participants

More time should be allotted for lab sessions