Machine Learning

Who should attend

The programme is open to the teachers of engineering colleges, degree colleges, MCA colleges and other allied disciplines in Telangana, Andhra Pradesh, Karnataka, Goa States and Andaman & Nicobar Islands, Puducherry UTs.

Industry personnel working in the concerned/allied discipline can also attend.

Course Content

 Introduction to Artificial Intelligence
 Introduction to Machine Learning
 Supervised Learning
 Decision tree learning
 Bayesian learning
 Conceptual Learning
 Instance based learning
 Unsupervised learning
 Dimensionality reduction
 Support vector machines
 Radial basis functions
 Hidden Markov models
 Probability Learning
 Graphical models
 Analytical learning
 Reinforced learning
 Evolutionary learning
 Ensemble learning
 Design of ANN
 Multilayer perceptron’s
 Design of Genetic algorithms
 Design of Fuzzy systems

Registration Fee

Faculty and Research Scholars from above mentioned states: Rs 2000/-(inclusive of boarding & lodging)
Faculty of SC/ ST Category from mentioned states: Rs. 500/-(inclusive of boarding & lodging)
Industry participants: Rs 6000/-(inclusive of boarding & lodging)
Participants from other states/UTs (other than above mentioned)
a) Rs 8500/- Only (inclusive of boarding & lodging)
b) Rs 2000/- Only (Lodging and boarding are extra at actuals)

The Participants need to send a crossed demand draft (DD) drawn in favour of "Director, NIT Warangal" and payable at SBH, NIT Warangal branch.

How to Apply

A filled-in form of application in the prescribed format duly signed and sponsored by appropriate authorities (along with demand draft) should reach the coordinator on or before the last date by post/courier. Participants are requested to write their name and contact number backside of demand draft. It is also mandatory to send scanned application form and demand draft through e-mail to esreddy67@gmail.com as selection will be intimated only through e-mail.

Accommodation

No TA/DA will be paid to the participants. Accommodation, Dinner, Breakfast is arranged for outstation participants at University guest house, ANU .Working Lunch, Tea & Snacks would be provided to all the participants.