Causal Inference for Data Science
Format:Hardback
Publisher:Manning Publications
Publishing:28th Apr '25
£45.99
This title is due to be published on 28th April, and will be despatched as soon as possible.
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
It'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.
ISBN: 9781633439658
Dimensions: unknown
Weight: unknown
381 pages