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200724s2020 xx 037 o vleng d |
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|a UMI
|b eng
|e rda
|e pn
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|d UAB
|d OCLCF
|d OCLCQ
|d OCLCO
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|a (OCoLC)1176539810
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|a CL0501000126
|b Safari Books Online
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|a T57.5
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|a UAMI
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|a Misra, Subhasish,
|e on-screen presenter.
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|a Causal inference 101 :
|b answering the crucial "why" in your analysis /
|c Subhasish Misra.
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|a [Place of publication not identified] :
|b O'Reilly Media,
|c 2020.
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|a 1 online resource (1 streaming video file (36 min., 45 sec.))
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|a two-dimensional moving image
|b tdi
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a video
|b v
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|a online resource
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|a Title from resource description page (viewed July 23, 2020).
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|a This session is from the 2019 O'Reilly Strata Conference in New York, NY.
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|a Presenter, Subhasish Misra.
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|a "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
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590 |
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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650 |
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0 |
|a Electronic data processing
|v Congresses.
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650 |
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|a Data structures (Computer science)
|v Congresses.
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650 |
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|a Cloud computing
|v Congresses.
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650 |
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0 |
|a Artificial intelligence
|v Congresses.
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650 |
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6 |
|a Structures de données (Informatique)
|v Congrès.
|
650 |
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6 |
|a Infonuagique
|v Congrès.
|
650 |
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6 |
|a Intelligence artificielle
|v Congrès.
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650 |
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7 |
|a Artificial intelligence
|2 fast
|0 (OCoLC)fst00817247
|
650 |
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7 |
|a Cloud computing
|2 fast
|0 (OCoLC)fst01745899
|
650 |
|
7 |
|a Data structures (Computer science)
|2 fast
|0 (OCoLC)fst00887978
|
650 |
|
7 |
|a Electronic data processing
|2 fast
|0 (OCoLC)fst00906956
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655 |
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|a Electronic videos.
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655 |
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|a Conference papers and proceedings
|2 fast
|0 (OCoLC)fst01423772
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711 |
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|a O'Reilly Strata Data Conference
|d (2019 :
|c New York, N.Y.)
|j issuing body.
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|u https://learning.oreilly.com/videos/~/0636920372004/?ar
|z Texto completo (Requiere registro previo con correo institucional)
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994 |
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|a 92
|b IZTAP
|