In this book, author Matheus Facure, senior data scientist at Nubank, explains the largely untapped potential of causal inference for estimating impacts and effects. How do you establish an optimal pricing strategy?.
How Do You Establish An Optimal Pricing Strategy?. Title: Causal Inference In Python: Applying Causal Inference In The Tech Industry. Number of Pages: 400. Publication Date: 2024-01-02.
The product is a textbook titled "Causal Inference in Python: Applying Causal Inference in the Tech Industry" by Matheus Facure. Published by O'Reilly Media, Incorporated in 2023, this trade paperback book covers the subject areas of Computers, Business & Economics, focusing on data modeling, programming languages/Python, and statistics. With 406 pages, the book provides practical insights and skills for applying causal inference in the tech industry, making it a valuable resource for students, professionals, and anyone interested in the intersection of data analysis and business strategy.
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"Causal Inference in Python: Applying Causal Inference in the Tech Industry" by Matheus Facure is a textbook that explores the application of causal inference in the tech industry. It also covers topics such as bias, noncompliance bias, and heterogeneous effect estimation using machine learning.
You are purchasing a Good copy of 'Causal Inference in Python: Applying Causal Inference in the Tech Industry'. Condition Notes: Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition!
In this book, author Matheus Facure, senior data scientist at Nubank, explains the largely untapped potential of causal inference for estimating impacts and effects. How do you establish an optimal pricing strategy?.
How do you establish an optimal pricing strategy?.
How do you establish an optimal pricing strategy?.
