Machine Learning and Soft Computing

Participants Information

Participants:	42
Speakers:	11
Female participants:	15
Male participants:	27
Participants from SC/ST category:	None

Lab Sessions

• Neural Networks
• NLP
• Machine Learning Tools

Topics Covered

• Introduction to Machine Learning
• ANNS Basics
• ANNS for Signal Processing
• Regression Techniques
• Novel Models of ANNS
• Multi Dimensional NNS
• Perceptron, DT Learning, Adaline, Clustering
• Evaluating Hypotheses
• Back Propagation Learning Algorithm
• Rule Based Machine Translation
• ANN Applications
• Statistical models
• HMM Models
• Multilayer Feedforward Networks
• Deep Learning
• Bayesian Learning-I
• Applications of Pattern Recognition
• Bayesian Belief Networks
• Instance based Learning
• Fuzzy Optimization and Control problems
• Concept Learning
• Swarm Intelligence, SVM
• SC Techniques, Genetic Algorithms
• Reinforcement Learning, Recommender Systems, ML topics
• Fuzzy-Neuro systems, PCA & ICA

List of External Speakers

Prof. C. Chandra Shekar, Professor, IIT- Madras

Dr. G. Rama Murthy, Associate Professor, IIIT, Hyderabad

Prof. V. N. Sastry, Professor, IDRBT, Hyderabad

Prof. Ramadoss, Professor, NIT Trichy

Dr. Sanjay Chatterji, Tech Lead, Samsung R & D, Banglore

List of Internal Speakers

Dr. R. B. V. Subramanyam, Associate Professor, Dept of CSE, NIT Warangal

Dr. ManjuBala Bisi, Assistant Professor(Adhoc), Dept of CSE, NIT Warangal

Dr. Y. ChandraSekhar, Assistant Professor, Dept of EEE, NIT Warangal

Prof. S. G. Sanjeevi, Professor, Dept of CSE, NIT Warangal

Dr. L. Anjaneyulu, Associate Professor, Dept of ECE, NIT Warangal

Dr. K. V. Kadambari, Assistant Professor, Dept of CSE, NIT Warangal

Feedback Summary

Appropriateness and adequacy of content is good.

Balance of methodologies adopted is good.

Subject matter was well articulated in slides.

Flow of the lectures was effective and duration was appropriate.

Participants are highly appreciative of the hospitality.