Speakers:
Greg Lewis, Senior Principal Researcher, Microsoft Research Redmond
Ya Xu, Head of Data, LinkedIn
Totte Harinen, Data Scientist, Toyota Research Institute
Dawen Liang, Senior Research Scientist, Netflix
Causal ML is widely used by data science teams in the tech world to give business decision makers data-driven answers. In this panel data science leaders at Amazon, LinkedIn, Netflix and Toyota will offer their unique perspectives on what problems they are solving, which tools have proven effective or ineffective, where they see the future of the field, and what they wish they’d learned sooner.
Learn more about the 2021 Microsoft Research Summit:
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4 months ago 00:04:27 1
Havel - The Black Blade
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Архангельский Д. Intro into Panel Data Methods. Lecture 3: Synthetic control and DiD.
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SPERM WHALES ’ADOPT’ DEFORMED DOLPHIN
1 year ago 01:41:23 1
Pace e mondo multipolare, stop al massacro di Gaza.
1 year ago 02:25:57 1
Panel 4. The Post-Soviet Eurasia
1 year ago 00:15:29 1
How Time Becomes Space Inside a Black Hole | Space Time
1 year ago 00:11:48 1
Superluminal Time Travel + Time Warp Challenge Answer
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The Race to a Habitable Exoplanet - Time Warp Challenge | Space Time
1 year ago 00:16:07 1
The Geometry of Causality
1 year ago 00:14:40 3
How the Quantum Eraser Rewrites the Past | Space Time | PBS Digital Studios
2 years ago 00:01:00 47
éS | Tom Penny | The Signature Penny Accel OG RS
3 years ago 01:38:37 1
Trustworthy AI and Machine Understanding - Ben Goertzel, Joscha Bach, Monica Anderson
3 years ago 00:37:53 3
Panel: Causal ML at Microsoft
3 years ago 00:25:28 1
Panel: Causal ML Research at Microsoft
3 years ago 00:45:10 1
Panel: Causal ML in industry
4 years ago 01:22:25 12
Professor George Ellis - How Can Physics Underlie the Mind? Top-Down Causation in the Human Context
6 years ago 00:32:30 5
TDLS: Learning Functional Causal Models with GANs - part 2 (results and discussion)
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TDLS: Learning Functional Causal Models with GANs - part 1 (algorithm review)