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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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+ | ==Data Science DLS== | ||
− | + | *02-05-20 - [[RecordedTalks Open:Data Science DLS/Video-DSDLS-20200205|David Blei - The Blessings of Multiple Causes]] | |
− | + | *09-11-18 - [[RecordedTalks Open:Data Science DLS/Video-DSDLS-20180911|Bill Howe- System and Algorithms for Responsible Data Science.]] | |
+ | *01-30-18 - [[RecordedTalks Open:Data Science DLS/Video-DSDLS-20180130|Michael I. Jordan - On Computational Thinking, Inferential Thinking and Data Science]] | ||
+ | *09-29-16 - [[RecordedTalks Open:Data Science DLS/Video-DSDLS-20160928|Yoshua Bengio - Improving the Memory Capability of Recurrent Networks]] | ||
+ | *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]] | ||
<hr /> | <hr /> | ||
==Links== | ==Links== |
Latest revision as of 10:48, 14 December 2022
RecordedTalks Open:Data Science DLS
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