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Causal Inference and Discovery in Python: Unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more
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Causal Inference and Discovery in Python: Unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more

Demystify causal inference and casual discovery by uncovering causal principles and merging them with powerful machine learning algorithms for observational and experimental data
Purchase of the print or Kindle book includes a free PDF eBook
Key Features
Examine Pearlian causal concepts such as structural causal models, interventions, counterfactuals, and more
Discover modern causal inference techniques for average and heterogenous treatment effect estimation
Explore and leverage traditional and modern causal discovery methods
Product details
Publisher : Packt Publishing Ltd. (May 31, 2023)
Language : English
Paperback : 456 pages
ISBN-10 : 1804612987
ISBN-13 : 978-1804612989
Item Weight : 1.74 pounds
Dimensions : 9.25 x 7.52 x 0.94 inches
Best Sellers Rank: #63,153 in Books (See Top 100 in Books)
#3 in Computer Programming Logic
#49 in Python Programming
#109 in Artificial Intelligence & Semantics
Customer Reviews: 4.4
109 ratings

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