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Causal Inference in Python - by  Matheus Facure (Paperback) - 1 of 1

Causal Inference in Python - by Matheus Facure (Paperback)

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Highlights

  • How many buyers will an additional dollar of online marketing bring in?
  • Author(s): Matheus Facure
  • 406 Pages
  • Computers + Internet,

Description



Book 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
Dimensions (Overall): 9.1 Inches (H) x 6.9 Inches (W) x 1.1 Inches (D)
Weight: 1.5 Pounds
Suggested Age: 22 Years and Up
Genre: Computers + Internet
Number of Pages: 406
Publisher: O'Reilly Media
Format: Paperback
Author: Matheus Facure
Language: English
Street Date: August 22, 2023
TCIN: 89120918
UPC: 9781098140250
Item Number (DPCI): 247-16-2405
Origin: Made in the USA or Imported
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Estimated ship dimensions: 1.1 inches length x 6.9 inches width x 9.1 inches height
Estimated ship weight: 1.5 pounds
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Q: Who is the author of this book?

submitted by AI Shopping Assistant - 1 month ago
  • A: The author of this book is Matheus Facure, a senior data scientist at Nubank.

    submitted byAI Shopping Assistant - 1 month ago
    Ai generated

Q: Who would benefit from reading this book?

submitted by AI Shopping Assistant - 1 month ago
  • A: Managers, data scientists, and business analysts will find valuable insights within this book.

    submitted byAI Shopping Assistant - 1 month ago
    Ai generated

Q: What is the primary focus of this book?

submitted by AI Shopping Assistant - 1 month ago
  • A: The book focuses on how to use causal inference to understand the impact of business decisions.

    submitted byAI Shopping Assistant - 1 month ago
    Ai generated

Q: What topics regarding biases are addressed in the book?

submitted by AI Shopping Assistant - 1 month ago
  • A: It discusses how bias affects causal inference and how to adjust for various types of biases.

    submitted byAI Shopping Assistant - 1 month ago
    Ai generated

Q: What methods of causal inference are discussed?

submitted by AI Shopping Assistant - 1 month ago
  • A: The book covers methods like randomized control trials, linear regression, and propensity scores.

    submitted byAI Shopping Assistant - 1 month ago
    Ai generated

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