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Electronics & ICT Academy, Telangana State, India

Machine Learning and Deep Learning

10th – 15th November, 2018

Venue : Aditya Engineering College (A), Surampalem

Who Should Attend Course Content Duration and Venue
Registration Fee How to Apply Accommodation
Address for Communication Download Brochure Lecture Schedule

Who should attend

The programme is open to the faculty of engineering colleges, degree colleges, MCA colleges and other allied disciplines in India.

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

Course Content

• Machine Learning :Introduction
• Supervised Vs Unsupervised Learning
• Linear Regression
• Decision Trees, KNN
• Bayesian Networks, SVM
• Clustering :K Means
• Introduction to Deep Learning
• Feed Forward Neural Networks
• Back Propagation, Computing Gradients
• Principal Component Analysis
• Auto Encoder
• Convolutional Neural Networks
• Recurrent Neural Networks
• Difference Between Statistical modelling,
Machine learning and Deep Learning
• Hands on session using R and Python

Duration and Venue

Duration: 6 Days
Start Date : 10th – 15th November, 2018
Last Date for Submission of application : 3rd November, 2018
Venue: Aditya Engineering College (A), Surampalem

Registration Fee

Faculty and Research Scholars Rs. 2500/-
Faculty of SC/ST Category Rs. 1875/- (SC/ ST participants should submit their caste certificate to claim the concession along with application form)
Industry Participants Rs. 7500/-
SC/ST concession is only for Faculty. 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
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 mldlfdp2018@aec.edu.in as selection will be intimated only through e-mail.


Accommodation will be provided to the selected outside participants on prior request. No TA/ DA will be paid for the participants. Working Lunch, Tea & Snacks would be provided during the Training in the campus.

Address for Communication

Dr. S. Rama Sree
Training Coordinator for FDP on “Machine Learning and Deep Learning”
Professor and Vice Principal
Department of CSE,
Aditya Engineering College,
ADB Road, Surampalem,
Near Peddapuram,
E.G. Dist., A.P. – 533437

Mobile: 7036176662
email: mldlfdp2018@aec.edu.in