(PDF) Causal Inference for Data Science - Aleix Ruiz de Villa

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Description

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 graphs

Estimate causal effects using statistical and machine learning techniques

Determine when to use A/B tests, causal inference, and machine learning

Explain and assess objectives, assumptions, risks, and limitations

Determine if you have enough variables for your analysis

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