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Matheus Facure Causal Inference in Python (Paperback) (UK IMPORT)
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eBay item number:116703293854
Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- 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
About this product
Product Identifiers
Publisher
O'reilly Media, Incorporated
ISBN-10
1098140257
ISBN-13
9781098140250
eBay Product ID (ePID)
6060637961
Product Key Features
Number of Pages
400 Pages
Publication Name
Causal Inference in Python : Applying Causal Inference in the Tech Industry
Language
English
Publication Year
2023
Subject
Data Modeling & Design, Skills, Statistics, Programming Languages / Python
Type
Textbook
Subject Area
Computers, Business & Economics
Format
Trade Paperback
Dimensions
Item Height
1 in
Item Weight
24.6 Oz
Item Length
9.1 in
Item Width
7 in
Additional Product Features
LCCN
2023-282031
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
005.13/3
Synopsis
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, How many buyers will an additional dollar of online marketing attract? Which customers will only buy when given a discount coupon? How do you establish an optimal pricing strategy? Causal inference is the best way to determine how the levers at your disposal affect the business metrics you want to drive. And it only requires a few lines of Python code. In this book, author Matheus Facure 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 A/B tests, linear regression, propensity score, synthetic controls, and difference-in-differences-and modern developments such as using machine learning for heterogeneous effect estimation. Each method is illustrated by an application in the industry. This book helps you: Learn how to use basic concepts of causal inference, Frame a business problem as a causal inference problem, Understand how bias interferes with causal Inference, Learn how causal effects can differ from person to person, Use observations of the same customers across time for causal inference, Use geo and switchback experiments when randomization isn't an option, Examine noncompliance bias and effect dilution
LC Classification Number
QA76.73.P98F33 2023
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VAT number: GB 864154811
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- 4***u (1887)- Feedback left by buyer.Past monthVerified purchaseGood condition and UK release so a bit different than what I can find in the U.S.
- eBay automated feedback- Feedback left by buyer.Past monthOrder completed successfully—tracked and on time
- eBay automated feedback- Feedback left by buyer.Past monthOrder completed successfully—tracked and on time
Seller feedback (786,883)
- 4***u (1887)- Feedback left by buyer.Past monthVerified purchaseGood condition and UK release so a bit different than what I can find in the U.S.
- eBay automated feedback- Feedback left by buyer.Past monthOrder completed successfully—tracked and on time
- eBay automated feedback- Feedback left by buyer.Past monthOrder completed successfully—tracked and on time