Sách Causal Inference in Python Applying Causal Inference in the Tech Industry

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Sách Causal Inference in Python Applying Causal Inference in the Tech Industry

Sách Causal Inference in Python Applying Causal Inference in the Tech Industry

Sách Causal Inference in Python Applying Causal Inference in the Tech Industry

Sách Causal Inference in Python Applying Causal Inference in the Tech Industry

Sách Causal Inference in Python Applying Causal Inference in the Tech Industry

Sách Causal Inference in Python Applying Causal Inference in the Tech Industry

Sách Causal Inference in Python Applying Causal Inference in the Tech Industry

Sách Causal Inference in Python Applying Causal Inference in the Tech Industry

Sách Causal Inference in Python Applying Causal Inference in the Tech Industry

Sách Causal Inference in Python Applying Causal Inference in the Tech Industry

Sách Causal Inference in Python Applying Causal Inference in the Tech Industry

Sách Causal Inference in Python Applying Causal Inference in the Tech Industry

Sách Causal Inference in Python Applying Causal Inference in the Tech Industry

Sách Causal Inference in Python Applying Causal Inference in the Tech Industry

Sách Causal Inference in Python Applying Causal Inference in the Tech Industry

Sách Causal Inference in Python Applying Causal Inference in the Tech Industry

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Sách Causal Inference in Python Applying Causal Inference in the Tech Industry

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220,000₫

Danh mục: Sách ngoại ngữ, Sách Tiếng Anh quyển Lẻ, Sách IT, Sách chuyên ngành
Tình trạng: Còn hàng

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Sách Causal Inference in Python Applying Causal Inference in the Tech Industry

Sách Causal Inference in Python Applying Causal Inference in the Tech Industry (Sách keo gáy. bìa mềm)

How many buyers will an additional dollar of online

marketing bring in? Which customers will only buy when given a discount

coupon? How do you establish an optimal pricing strategy? The best way

to determine how the levers at our disposal affect the business metrics

we want to drive is through causal inference.

In this book, author

Matheus Facure, senior data scientist at Nubank, explains the largely

untapped potential of causal inference for estimating impacts and

effects. Managers, data scientists, and business analysts will learn

classical causal inference methods like randomized control trials (A/B

tests), linear regression, propensity score, synthetic controls, and

difference-in-differences. Each method is accompanied by an application

in the industry to serve as a grounding example.

With this book, you will

• Learn how to use basic concepts of causal inference

• Frame a business problem as a causal inference problem

• Understand how bias gets in the way of causal inference

• Learn how causal effects can differ from person to person

• Use repeated observations of the same customers across time to adjust for biases

• Understand how causal effects differ across geographic locations

• Examine noncompliance bias and effect dilution

Categories:Computers - Organization and Data Processing

Year:2023

Edition:1

Language:english

Pages:409

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