Causal inference for data science /

In Video Editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video. When you know the cause of an event, you can affect its outcome. This accessible introduction to causal inference sh...

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Bibliographic Details
Main Author: Villa, Aleix Ruiz de (Author)
Corporate Author: Safari, an O'Reilly Media Company
Format: Video
Language:English
Published: [Shelter Island, New York] : Manning Publications, [2025]
Edition:Video Edition.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:In Video Editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video. When you know the cause of an event, you can affect its outcome. This accessible introduction to causal inference shows you how to determine causality and estimate effects using statistics and machine learning. A/B tests or randomized controlled trials are expensive and often unfeasible in a business environment. Causal Inference for Data Science reveals the techniques and methodologies you can use to identify causes from data, even when no experiment or test has been performed.
Physical Description:1 online resource (1 video file (12 hr., 41 min.)) : sound, color.
Playing Time:12:41:00