Machine Learning

Who should attend

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

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

Course Content

• Introduction to Machine Learning
• Decision Tree Learning
• Artificial Neural Networks
• Bayesian Learning
• Deep Learning
• Instance-Based Learning
• Regression Techniques
• Kernel Methods
• Radial Basis Function Networks
• Support Vector Machines
• Genetic Algorithms
• Reinforcement Learning
• Machine Learning Applications

Registration Fee

Faculty and Research Scholars from Telangana, Andhra Pradesh, Karnataka, Puducherry, Andaman and Nicobar Islands, Goa	Rs. 2500/-
Faculty of SC/ST Category from Telangana, Andhra Pradesh, Karnataka, Puducherry, Andaman and Nicobar Islands, Goa	Rs. 1250/- (SC/ ST participants should submit their caste certificate to claim the concession along with application form)
Industry Participants	Rs. 7500/-
Participants from other states	Rs. 8500/-

SC/ST concession is only for faculty of mentioned states. Research Scholars are not eligible for SC/ST concession.

The Participants need to send a crossed demand draft (DD) drawn in favour of "Director, NIT Warangal" and payable at SBH, NIT Warangal branch
or
On-line Mode:
Account Name: Electronics & ICT Academy NITW
Account No: 62423775910
IFSC Code: SBIN0020149

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 sgs@nitw.ac.in as selection will be intimated only through e-mail.

Accommodation

All the selected participants will be provided FREE boarding & lodging in the institute guest house. No TA will be paid for the participants