What Is Causal Inference?:

Causal inference lies at the heart of our ability to understand why things happen by helping us predict the result of any action. This process is vital for businesses that aspire to turn data and information into valuable knowledge. With this report, data scientists and analysts will learn a princip...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Beteiligte Personen: Bowne-Anderson, Hugo (VerfasserIn), Loukides, Mike (VerfasserIn)
Körperschaften: O'Reilly for Higher Education (Firm) (MitwirkendeR), Safari, an O'Reilly Media Company (MitwirkendeR)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: [Erscheinungsort nicht ermittelbar] O'Reilly Media, Inc. 2022
Ausgabe:1st edition.
Schlagwörter:
Links:https://learning.oreilly.com/library/view/-/9781098118990/?ar
Zusammenfassung:Causal inference lies at the heart of our ability to understand why things happen by helping us predict the result of any action. This process is vital for businesses that aspire to turn data and information into valuable knowledge. With this report, data scientists and analysts will learn a principled way of thinking about causality using a suite of causal inference techniques now available. Authors Hugo Bowne-Anderson, a data science consultant, and Mike Loukides, vice president of content strategy at O'Reilly Media, introduce causality and discuss randomized control trials (RCTs), key aspects of causal graph theory, and well-needed techniques from econometrics.
Beschreibung:Online resource; Title from title page (viewed January 25, 2022)
Umfang:1 Online-Ressource (40 Seiten)
ISBN:9781098118990
1098118995