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DTSTART:20210314T030000
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DTSTART:20201101T010000
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DTSTAMP:20211211T220632Z
UID:E7B99D5A-AC0D-4020-99B7-61B75CD675C4
DTSTART;TZID=America/Chicago:20210120T180000
DTEND;TZID=America/Chicago:20210120T190000
DESCRIPTION:Don&#39;t miss this exciting meeting on machine learning using GPU 
 computing!\n\nAt the January Chicago IEEE Computer Society meeting (1/20/2
 1 Online) learn how those of you who look at algorithms and see opportunit
 ies for massive parallelism can apply that skill to problem solving. Finan
 cial modelers can now use advanced computer architectures known as GPUs an
 d a Python-based framework known as RAPIDS to speed up problems using big 
 data and machine learning. Rather than taking minutes to run\, these probl
 ems will be completed in seconds. We show a detailed analysis of several m
 illion loans where the contribution of each feature is discovered via thei
 r Shapley values along the lines of this article:\n\nhttps://developer.nvi
 dia.com/blog/explaining-and-accelerating-machine-learning-for-loan-delinqu
 encies/\n\nRegister for this event on Zoom at:\n\nhttps://acm-org.zoom.us/
 webinar/register/WN_u6jiVZgCTi-AKtT2x7oJbg\n\nAgenda: \n6:00 - 6:05 PM Int
 roduction - Alvin Chin\n\n6:05 - 6:45 PM Talk by Mark Bennett\, NVIDIA\n\n
 6:45 - 6:55 PM Q&amp;A\n\n6:55 - 7:00 PM Closing and Adjournment\n\nChicago\, 
 Illinois\, United States\, Virtual: https://events.vtools.ieee.org/m/25612
 6
LOCATION:Chicago\, Illinois\, United States\, Virtual: https://events.vtool
 s.ieee.org/m/256126
ORGANIZER:alvin.chin@ieee.org
SEQUENCE:3
SUMMARY:IEEE CS Chicago:Explaining and Accelerating Machine Learning for Fi
 nance
URL;VALUE=URI:https://events.vtools.ieee.org/m/256126
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Don&#39;t miss this exciting meeting on machin
 e learning using GPU computing!&lt;br /&gt;&lt;br /&gt;At the January Chicago IEEE Com
 puter Society meeting (1/20/21 Online) learn how those of you who look at 
 algorithms and see opportunities for massive parallelism can apply that sk
 ill to problem solving. Financial modelers can now use advanced computer a
 rchitectures known as GPUs and a Python-based framework known as RAPIDS to
  speed up problems using big data and machine learning. Rather than taking
  minutes to run\, these problems will be completed in seconds. We show a d
 etailed analysis of several million loans where the contribution of each f
 eature is discovered via their Shapley values along the lines of this arti
 cle:&lt;br /&gt;&lt;br /&gt;&lt;a class=&quot;link&quot; title=&quot;https://developer.nvidia.com/blog/e
 xplaining-and-accelerating-machine-learning-for-loan-delinquencies/&quot; href=
 &quot;https://developer.nvidia.com/blog/explaining-and-accelerating-machine-lea
 rning-for-loan-delinquencies/&quot; target=&quot;__blank&quot;&gt;https://developer.nvidia.c
 om/blog/explaining-and-accelerating-machine-learning-for-loan-delinquencie
 s/&lt;/a&gt;&lt;/p&gt;\n&lt;p&gt;Register for this event on Zoom at:&lt;/p&gt;\n&lt;p&gt;https://acm-org
 .zoom.us/webinar/register/WN_u6jiVZgCTi-AKtT2x7oJbg&amp;nbsp\;&lt;br /&gt;&lt;a id=&quot;cop
 yRegistrationInvitation&quot; class=&quot;edit&quot; role=&quot;button&quot; aria-modal=&quot;true&quot; aria
 -labelledby=&quot;copyRegistrationInvitation meeting-register-title&quot;&gt;&lt;/a&gt;&lt;/p&gt;&lt;b
 r /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p&gt;6:00 - 6:05 PM Introduction - Alvin Chin&lt;/p&gt;\n&lt;
 p&gt;6:05 - 6:45 PM Talk by Mark Bennett\, NVIDIA&lt;/p&gt;\n&lt;p&gt;6:45 - 6:55 PM Q&amp;am
 p\;A&lt;/p&gt;\n&lt;p&gt;6:55 - 7:00 PM Closing and Adjournment&lt;/p&gt;
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