Machine Learning with Python

26th NOV 2018 to 1st DEC 2018

Venue: Swami Vivekananda Institute Of Technology, Hyderabad

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

• Basic Machine Learning concepts and examples.
• Nearest-neighbor algorithms.
• Support vector machines.
• Kernel methods.
• Decision trees.
• Ensemble methods (Boosting, Bagging).
• Logistic regression.
• Multi-class classification
(conditional maxent models,
binary classifiers and
error- correction codes).
• Regression (linear regression,
kernel ridge regression,
lasso, neural networks).
• Unsupervised learning methods,
sparse representation and dictionary learning,
dimensionality reduction,
neural networks, introduction
to deep learning, CNN.
• Clustering (K-means, DT clustering).
Dimensionality reduction (PCA, KPCA).
• Introduction to reinforcement learning.
An insight on deep learning algorithms.
• Various applications

Duration and Venue

Duration: 6 Days
Start Date : 26th NOV 2018 to 1st DEC 2018
Last Date for Submission of application : 25.11.2018
Venue: Swami Vivekananda Institute Of Technology, Hyderabad

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 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 drrajunitw@gmail.com/raju@nitw.ac.in as selection will be intimated only through e-mail.

Accommodation

Lodging and boarding will be provided at campus at no additional cost.

Address for Communication

DR RAJU BHUKYA
Assistant Professor
Department of CSE
National Institute of Technology
Warangal, 506004.
Telangana, India.

Mobile: 7989299553,8897436971,9700553922

Email Id: drrajunitw@gmail.com, raju@nitw.ac.in