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Version of 15:48, 13 December 2022 by Valerie Caro
Difference between revisions of "RecordedTalks Open:Data Science DLS"
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− | + | 02-05-20 - [[RecordedTalks Open:Data Science DLS/Video-DSDLS-20200205|David Blei - The Blessings of Multiple Causes]] | |
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+ | 09-11-18 - [[RecordedTalks Open:Data Science DLS/Video-DSDLS-20180911|Bill Howe- System and Algorithms for Responsible Data Science]] | ||
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+ | 01-30-18 - [[RecordedTalks Open:Data Science DLS/Video-DSDLS-20180130|Michael I. Jordan - On Computational Thinking, Inferential Thinking and Data Science]] | ||
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+ | 09-29-16 - [[RecordedTalks Open:Data Science DLS/Video-DSDLS-20160928|Yoshua Bengio - Improving the Memory Capability of Recurrent Networks]] | ||
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+ | 10-03-16 - [[RecordedTalks Open:Data Science DLS/Video-DSDLS-20161003|Bin Yu - Theory to Gain Insight and Inform Practice]] | ||
+ | |||
+ | 10-28-16 - [[RecordedTalks Open:Data Science DLS/Video-DSDLS-20161027|Tommi S. Jaakkola - Continuous Embedding with Justification]] | ||
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Revision as of 15:50, 13 December 2022
RecordedTalks Open:Data Science DLS
02-05-20 - David Blei - The Blessings of Multiple Causes
09-11-18 - Bill Howe- System and Algorithms for Responsible Data Science
01-30-18 - Michael I. Jordan - On Computational Thinking, Inferential Thinking and Data Science
09-29-16 - Yoshua Bengio - Improving the Memory Capability of Recurrent Networks
10-03-16 - Bin Yu - Theory to Gain Insight and Inform Practice
10-28-16 - Tommi S. Jaakkola - Continuous Embedding with Justification
Links