International Workshop on Applied Machine Learning |
International Workshop on Applied Machine Learning (IWAML) is planned during February 19-23, 2018 at National Institute Technical Teacher's Training and Research, Kolkata. This workshop will provide an opportunity to learn ML from the perspective of mathematical basics to unfold the magic it manifests. We are bringing leading experts from the industry and academia to jointly teach basic and advanced ML. Aim is to provide in-depth training on modern machine learning tools & techniques along with theoretical aspects. Every lecture would be complemented with lab sessions to expose the attendees to appropriate tools (including Microsoft Azure). Current offering of the workshop is a joint effort of NITTTR Kolkata and BITS Pilani. Workshop flyer is available here. |
Dr. Phalguni Gupta Chief, Patron, NITTTR, Kolkata |
Dr. Kamlesh Tiwari Convener, BITS, Pilani |
Dr. Indrajit Saha Local Coordinator, NITTTR, Kolkata |
Dr. Phalguni Gupta NITTTR, Kolkata |
Dr. Vinay Namboodiri IIT Kanpur |
Dr. Aditya Nigam IIT Mandi |
Dr. Badrinath GS Amazon, Hyderabad |
Dr. A. K. Bhateja DRDO, Delhi |
Dr. Sudhir Rawat Microsoft, Hyderabad |
Dr. Indrajit Saha NITTTR, Kolkata |
Dr. Arun Chauhan IIIT, Dharwad |
Dr. Kamlesh Tiwari BITS, Pilani |
Registration Starts |
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10 Dec 2017 |
Early Registration |
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20 Jan 2018 31 Jan 2018 |
Late Registration |
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30 Jan 2018 05 Feb 2018 15 Feb 2018 |
Shortlist of Participants |
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31 Jan 2018 06 Feb 2018 16 Feb 2018 |
Workshop Dates |
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19-23 Feb 2018 |
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Without Accommodation |
With Accommodation |
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Early Registration |
Late Registration |
Early Registration |
Late Registration |
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Industry Participants |
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Rs. 12000 |
Rs. 14000 |
Rs. 18000 |
Rs. 20000 |
Faculty Member |
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Rs. 8000 |
Rs. 10000 |
Rs. 13000 |
Rs. 15000 |
Regular Students |
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Rs. 6000 |
Rs. 8000 |
Rs. 10000 |
Rs. 12000 |
International Participants |
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USD 200 |
USD 250 |
USD 250 |
USD 300 |
OFFLINE Registration Form | : | Click Here |
ONLINE Registration Form | : | Click Here |
Accommodation
would preferably be on shared basis.