Hardcover
Unlock AI that reasons why, predicts outcomes, and controls the future.

$106.91

  • Hardcover

    520 pages

  • Release Date

    18 March 2025

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Summary

How do you know what might have happened, had you done things differently? Causal machine learning gives you the insight you need to make predictions and control outcomes based on causal relationships instead of pure correlation, so you can make precise and timely interventions.

In Causal AI you will learn how to:

  • Build causal reinforcement learning algorithms
  • Implement causal inference with modern probabilistic machine tools such as PyTorch and Pyro

Book Details

ISBN-13:9781633439917
ISBN-10:1633439917
Author:Robert Osazuwa Ness
Publisher:Manning Publications
Imprint:Manning Publications
Format:Hardcover
Number of Pages:520
Release Date:18 March 2025
Weight:100g
About The Author

Robert Osazuwa Ness

Robert Ness is a leading researcher in causal AI at Microsoft Research. He is a contributor to open-source causal inference packages such as Python’s DoWhy and R’s bnlearn.

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