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Causal Inference for Data Science
Causal Inference for Data Science
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Causal Inference for Data Science
Causal Inference for Data Science
Causal Inference for Data Science
artikal br.: 161006545

Causal Inference for Data Science

89% of respondents would recommend this to a friend

artikal br.: 161006545

RSD 9800

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  • When you know the cause of an event, you can affect its outcome. This accessible introduction to causal inference shows you how to determine causality and estimate effects using statistics and machine learning.In Causal Inference for Data Science you will learn how to:Model reality using causal graphsEstimate causal effects using statistical and machine learning techniquesDetermine when to use A/B tests, causal inference, and machine learningExplain and assess objectives, assumptions, risks, and limitationsDetermine if you have enough variables for your analysisIt's possible to predict events without knowing what causes them. Understanding causality allows you both to make data-driven predictions and also intervene to affect the outcomes. Causal Inference for Data Science shows you how to build data science tools that can identify the root cause of trends and events. You'll learn how to interpret historical data, understand customer behaviors, and empower management to apply optimal decisions.
Publisher Manning Publications
Publication date 24 Jan. 2025
Edition 1st
Language English
Print length 392 pages
ISBN-10 1633439658
ISBN-13 978-1633439658
Item weight 1.05 kg
Dimensions 18.73 x 2.54 x 23.5 cm

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