Machine Learning – Recent Trends and Applications @ Anil Neerukonda Institute of Technology and Sciences, Sangivalasa, Visakhapatnam

Participants Information

Participants:	46
Speakers:	4
Female participants:	27
Male participants:	19
Participants from SC/ST category:	04
Research Scholars:	06

Lab Sessions

• Classification and Clustering
• Training and Testing a model using Torch 7
• Tensorflow & Theano

Topics Covered

• Overview of Machine Learning
• Classification and Clustering
• Principal Component Analysis
• Support Vector Machines
• Deep Learning Models
• Neural Networks
• ANN, Image Classification
• Building CNN model using torch 7
• Mixture Models
• Semi Supervised Learning
• Topic Models
• Language Models based on Word2Vec
• Aspect orient Sentiment Analysis
• Relational Learning
• Link Prediction

List of Speakers

Prof. C. Chandrasekhar, Professor, IIT Madras

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

Prof. K. V. S. V. N. Raju, Retired Professor, Andhra University, Vishakapatnam

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

Feedback Summary

FDP was very informative, useful and research oriented.

Planning and coordination of the programme was excellent.

Sessions on Support Vector Machines were good.

Resource persons are the major highlight of the programme.

Suggestions from Participants

More time should be allotted for lab sessions.