Bộ sách luyện thi ETS 2023 LC&RC
199,000₫
299,000₫
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
