Machine Learning Algorithms and Applications On Social Networks @ Vignan Institute Of Technology & Science, Deshmukhi

Participants Information

Participants:	54
Speakers:	05
Female participants:	14
Male participants:	40
Participants from SC/ST category:	19
Research Scholars:	04

Lab Sessions

• Map Reduce Computing
• Deep Learning
• LSTM using Tensorflow
• PCA in R

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
• Named Entity Recognition
• NLP and Social Media Data
• Smart Traffic Analysis
• Modelling Bayesian Networks for Data Centers
• Graph Analysis
• Social Media Analysis

List of Speakers

Prof. S. Bapi Raju, Professor, UoH, Hyderabad

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

Dr. Aruna Malapati, Assistant Professor, BITS Pilani, Hyderabad

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

Dr. P. Radha Krishna, Principal Research Scientist, Infosys, Hyderabad

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.

FDP should be conducted for two weeks.