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BEGIN:VEVENT
DTSTART:20180323T170000Z
DTEND:20180323T181500Z
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SUMMARY:Info Session: Big Data Science and Deep Learning: from academia to industry - March 23rd\, 2018
DESCRIPTION:* This is a free event\, so if you don't have an ICTAM login\, just register above under the non-member form\, or email info@ictam.ca for login information.\n\n\n\nPresented by University of Manitoba\n\nBig data science and deep learning are two hot topics in both academia and industry. This free info session will present an introduction of the current state of big data science\, computer vision\, data mining and analytics\, and deep learning: what problems can be solved by these technologies\, and what are the possible difficulties of adopting these technologies in industry applications.\n\n\n\nWhile targeted to anyone interested in data science and deep learning\, this info session will be especially for industry practitioners who are interested in adopting these advanced technologies into their products and workflow.
X-ALT-DESC;FMTTYPE=text/html:<p><span style="font-size:14px\;"><em>* This is a free event\, so if you don&#39\;t have an ICTAM login\, just register above under the non-member form\, or email info@ictam.ca for login information.</em></span><br />\n<br />\n<strong><span style="font-size: 14pt\;">Presented by University of Manitoba</span></strong><br />\nBig data science and deep learning are two hot topics in both academia and industry. This free info session will present an introduction of the current state of big data science\, computer vision\, data mining and analytics\, and deep learning: what problems can be solved by these technologies\, and what are the possible difficulties of adopting these technologies in industry applications.<br />\n<br />\nWhile targeted to anyone interested in data science and deep learning\, this info session will be especially for industry practitioners who are interested in adopting these advanced technologies into their products and workflow.</p>\n
LOCATION:435 Ellice Ave\, NRC Building
UID:e.9429.1042
SEQUENCE:3
DTSTAMP:20260420T114730Z
URL:https://members.techmanitoba.ca/events/details/info-session-big-data-science-and-deep-learning-from-academia-to-industry-march-23rd-2018-1042
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