Causal inference for data science / Aleix Ruiz de Villa.

Format:

Video

Author/Creator:

Villa, Aleix Ruiz de, author.

Contributor:

Manning Publications, publisher.

Language:

English

Subjects (All):

Machine learning.

Quantitative research.

Data structures (Computer science).

Causation.

Inference.

Instrumental variables (Statistics).

Physical Description:

1 online resource (1 video file (12 hr., 41 min.)) : sound, color.

Edition:

Video Edition.

[First edition].

Place of Publication:

[Shelter Island, New York] : Manning Publications, [2025]

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.

Notes:

OCLC-licensed vendor bibliographic record.

OCLC:

1525162479

Publisher Number:

9781633439658VE