Description: Causal Inference and Discovery in Python: Unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more by Aleksander Molak (Author) Demystify causal inference and casual discovery by uncovering causal principles and merging them with powerful machine learning algorithms for observational and experimental data Key FeaturesExamine Pearlian causal concepts such as structural causal models, interventions, counterfactuals, and moreDiscover modern causal inference techniques for average and heterogenous treatment effect estimationExplore and leverage traditional and modern causal discovery methodsBook DescriptionCausal methods present unique challenges compared to traditional machine learning and statistics. Learning causality can be challenging, but it offers distinct advantages that elude a purely statistical mindset. Causal Inference and Discovery in Python helps you unlock the potential of causality.
Price: 30 USD
Location: Rosharon, Texas
End Time: 2024-10-30T00:53:19.000Z
Shipping Cost: 5.38 USD
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
ISBN-13: 9781804612989
Book Title: Causal Inference and Discovery in Python
Language: English
Publication Name: Causal Inference and Discovery in Python : Unlock the Secrets of Modern Causal Machine Learning with Dowhy, EconML, Pytorch and More
Publisher: Packt Publishing, The Limited
Publication Year: 2023
Subject: Computer Engineering
Type: Textbook
Item Length: 92.5 in
Subject Area: Computers
Author: Aleksander Molak
Item Width: 75 in
Format: Trade Paperback
