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Causal Inference for Data Science
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Causal Inference for Data Science

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ProduktVarenr.PrisHandling
Causal Inference for Data Science9781633439658379,95 krTil butik
Causal Inference for Data Science9781633439658379,95 krTil butik

Produktdetaljer

Causal Inference for Data Science

Causal Inference for Data Science

Aleix Ruiz de VillaBog

379,95 kr

Til butik
Varenr.:
9781633439658

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.

Læs mere hos Saxo DK
Causal Inference for Data Science

Causal Inference for Data Science

Alex Ruiz de Villa og Aleix Ruiz de VillaData- og informationsteknologi

379,95 kr

Til butik
Varenr.:
9781633439658

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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