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Causal Inference and Discovery in Python

<span xml:lang="en">Causal Inference and Discovery in Python: Unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more</span>

Molak, Aleksander

Jaokar, Ajit

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 eBookKey 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...

Demystify causal inference and casual discovery by uncovering causal principles and merging them with powerful machine learning algorithms for...

Format

Causal Inference and Discovery in Python

Unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more

Aleksander Molak

Ajit Jaokar

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