Kniha Causal Inference for Data Science Ruiz de Villa

Causal Inference for Data Science

Jazyk: Angličtina
Väzba: Brožovaná
Vydavateľ: MANNING PUBN
Dostupnosť: 50 % šanca
Prehľadáme celý svet
62.77
When you know the cause of an event, you can affect its outcome. This accessible introduction to cau...

Informácie o knihe

Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2023
Stránok
275
EAN
9781633439658
ISBN
1633439658
Enbook ID
42838509
Vydavateľ
Hmotnosť
327
Rozmery
187 x 235 x 18

Kompletný popis

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.

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