Causal Inference for Data Science

by Aleix Ruiz de Villa

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

275 pages, Paperback

Published January 1, 2023

Reviews

[Josua Naiborhu · Rating 5 out of 5]

interesting book to read with thought-provoking questions that genuinely help me understand the concept better. Top-Notch!