Last Date for Registration: Jan. 29th, 2018
Eligibility: Faculty/PhD/Research Scholars of engineering/technical institutions and
persons from Govt. departments/labs and industry.
Experts from Academia/Industry: Dr. Balasubramanian Raman (IITR), Dr. Partha Pratim Roy (IITR), Dr. Amioy Kumar (Intel, Bangalore)
Why Machine learning?
Machine learning is the science of getting computers to act without being explicitly programmed. It is so pervasive today that you probably use it dozens of times a day without knowing it.
Machine Learning techniques are becoming indispensable and it holds great potential in the field of computer vision, image processing, medical imaging, natural language processing,
speech processing etc. This course will help you to learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself.
More importantly, you'll learn about not only the theoretical underpinnings of learning but also gain the practical know-how needed to quickly and powerfully apply these techniques to
new problems. You would also acquire the skills needed to work with the problems
of feature extraction methods, regression classification techniques such as supervised, unsupervised and reinforcement.
Objective of the Course
To familiarize the participants with basic learning algorithms, techniques & their applications, as well as general questions.
Several software libraries and data sets publicly available will be used to illustrate the application of these algorithms.
The emphasis will be thus given on Machine Learning algorithms and applications.
Introduction to real-life applications of the Machine Learning.
Training with the recent developments in Machine Learning in industries.
Benefits and Outcomes of the Course
The program would help the participants to understand the key concepts behind Machine Learning.
Participants would also acquire the skills needed to work with the problems of feature extraction methods, regression classification techniques such as supervised, unsupervised and reinforcement.
Demonstrations of popular software will be done by the expert from the industry.
Hands-on experience in working with different software will be provided in Machine Learning.
Interaction with industry person will be established with possible collaborations.
The program is split into lectures and labs sessions.
Hands-on experience on basic & advanced-level topics.
Interaction & learning with experts from academia & industry.
Certificates to the participants by E&ICT Academy IITR.
Basic Machine Learning concepts and examples.
Support vector machines.
Ensemble methods (Boosting, Bagging).
Multi-class classification (conditional maxent models, binary classifiers and error- correction codes).
Regression (linear regression, kernel ridge regression, lasso, neural networks).
Clustering (K-means, DT clustering).
Dimensionality reduction (PCA, KPCA).
Introduction to reinforcement learning.
An insight on deep learning algorithms.
Various applications in imaging and video analytics.
Last Date for Registration:
Jan. 29th, 2018
40 seats on first-cum-first-serve basis
5 days, 35 hours
Food and Accommodation
Free of cost inside the IITR campus. No travel allowance will be provided.
Faculty Members/Research scholars: Rs. 2,500/-
Persons from Industry: Rs. 3,000/-
Demand draft drawn in favour of "Dean SRIC IIT Roorkee" payable at Roorkee
How to Apply
You can apply online by click here to fill-up the application form OR you can download offline form and email scanned copy to email@example.com
Dr. Balasubramanian Raman (Local co-ordinator, Associate Prof. CSE Dept, IITR)
Dr. Partha Pratim Roy (Local co-ordinator, Assistant Prof. CSE Dept, IITR)
Dr. Sanjeev Manhas (P.I., E&ICT Academy, ECE Dept, IITR)
A hard copy of the application form along with Demand Draft must reach to the following address: Mr. Prateek Sharma, EICT Academy, ECE Department, IIT Roorkee, Uttarakhand 247667.
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