Machine Learning & Soft Computing @ Lakireddy Bali Reddy College of Engineering, Mylavaram

Participants Information

Participants:	40
Speakers:	05
Female participants:	14
Male participants:	26
Participants from SC/ST category:	06
Research Scholars:	03

Lab Sessions

• Sentiment Analysis
• LSTM using Tensorflow

Topics Covered

• Overview of Machine Learning
• Classification and Clustering
• Principal Component Analysis
• Support Vector Machines
• Deep Learning Models & Neural Networks
• Language Identification and Event Extraction
• Genetic Algorithms
• Bayesian Learning
• Linear Discriminant Analysis
• Sentiment Analysis
• RBMs and Deep Belief Networks
• Fuzzy Sets and Logic
• Rough Sets

List of Speakers

Dr. G. Rammurthy, Associate Professor, IIIT, Hyderabad

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

Prof. R. Chandra Sekharam, Retd. Professor, NIT Warangal

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

Prof. C. Chandra Sekhar, Professor, IIT Madras

Feedback Summary

FDP was very informative, useful and research oriented.

Planning and coordination of the programme was excellent.

Participants procured enough technical skills to carry out student projects in this area.

Resource persons are the major highlight of the programme.

Suggestions from Participants

More time should be allotted for lab sessions.