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Matheus Facure Causal Inference in Python (Paperback)

Description: Further DetailsTitle: Causal Inference in PythonCondition: NewSubtitle: Applying Causal Inference in the Tech IndustryEAN: 9781098140250ISBN: 9781098140250Publisher: O'Reilly MediaFormat: PaperbackRelease Date: 07/28/2023Description: 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 inferenceFrame a business problem as a causal inference problemUnderstand how bias gets in the way of causal inferenceLearn how causal effects can differ from person to personUse repeated observations of the same customers across time to adjust for biasesUnderstand how causal effects differ across geographic locationsExamine noncompliance bias and effect dilutionLanguage: EnglishCountry/Region of Manufacture: USItem Height: 233mmItem Length: 178mmAuthor: Matheus FacureGenre: Computing & InternetRelease Year: 2023 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.

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Matheus Facure Causal Inference in Python (Paperback)

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Book Title: Causal Inference in Python

Title: Causal Inference in Python

Subtitle: Applying Causal Inference in the Tech Industry

EAN: 9781098140250

ISBN: 9781098140250

Release Date: 07/28/2023

Release Year: 2023

Country/Region of Manufacture: US

Genre: Computing & Internet

Number of Pages: 406 Pages

Publication Name: Causal Inference in Python : Applying Causal Inference in the Tech Industry

Language: English

Publisher: O'reilly Media, Incorporated

Publication Year: 2023

Item Height: 1 in

Subject: Data Modeling & Design, Skills, Statistics, Programming Languages / Python

Item Weight: 25.1 Oz

Type: Textbook

Item Length: 9.2 in

Author: Matheus Facure

Subject Area: Computers, Business & Economics

Item Width: 7 in

Format: Trade Paperback

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