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Causal Inference and Discovery in Python : Unlock the Secrets of Modern Causal Machine Learning with Dowhy, EconML, Pytorch and More /: Unlock the Secrets of Modern Causal Machine Learning with Dowhy, EconML, Pytorch and More. ([2023])
Record Type:
Book
Title:
Causal Inference and Discovery in Python : Unlock the Secrets of Modern Causal Machine Learning with Dowhy, EconML, Pytorch and More /: Unlock the Secrets of Modern Causal Machine Learning with Dowhy, EconML, Pytorch and More. ([2023])
Main Title:
Causal Inference and Discovery in Python : Unlock the Secrets of Modern Causal Machine Learning with Dowhy, EconML, Pytorch and More
Table of ContentsCausality – Hey, We Have Machine Learning, So Why Even Bother?Judea Pearl and the Ladder of CausationRegression, Observations, and InterventionsGraphical ModelsForks, Chains, and ImmoralitiesNodes, Edges, and Statistical (In)dependenceThe Four-Step Process of Causal InferenceCausal Models – Assumptions and ChallengesCausal Inference and Machine Learning – from Matching to Meta-LearnersCausal Inference and Machine Learning – Advanced Estimators, Experiments, Evaluations, and MoreCausal Inference and Machine Learning – Deep Learning, NLP, and BeyondCan I Have a Causal Graph, Please?Causal Discovery and Machine Learning – from Assumptions to ApplicationsCausal Discovery and Machine Learning – Advanced Deep Learning and BeyondEpilogue.
Note: Description based on online resource; title from digital title page (viewed on June 23, 2023).
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Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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