| Description |
1 online resource (1 streaming video file (36 min., 45 sec.)) |
| Note |
Title from resource description page (viewed July 23, 2020). |
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This session is from the 2019 O'Reilly Strata Conference in New York, NY. |
| Performer |
Presenter, Subhasish Misra. |
| Summary |
"Subhasish Misra (Walmart Labs) explores the statistical methods available to ensure you're able to circumvent this shortcoming and get to causality. You'll get a practical overview of the aspects of causal inference, including the fundamental tenants of causality and measuring causal effects; the challenges involved in measuring causal effects in real-world situations; distinguishing between randomized and observational measurement approaches; an introduction to measuring casual effects with observational data using matching and its extension of propensity score-based matching with a focus on the institution and statistics behind it, tips from the trenches based on Subhasish's experience with these techniques; and practical limitations of these approaches. Subhashish walks you through an example of how matching was applied to get causal insights regarding the effectiveness of a digital product at Walmart."--Resource description page |
| Subject |
Electronic data processing -- Congresses.
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Data structures (Computer science) -- Congresses.
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Cloud computing -- Congresses.
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Artificial intelligence -- Congresses.
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Structures de données (Informatique) -- Congrès. |
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Infonuagique -- Congrès. |
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Intelligence artificielle -- Congrès. |
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Artificial intelligence |
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Cloud computing |
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Data structures (Computer science) |
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Electronic data processing |
| Genre |
Electronic videos. |
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Conference papers and proceedings
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| Added Author |
O'Reilly Strata Data Conference (2019 : New York, N.Y.) issuing body.
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