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Causal Inference for Data Science (MEAP V04)

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This book is for data scientists, but also for machine learning practitioners/engineers/researchers that may feel the need to include causality in their models. It is also for statisticians and econometricians that want to develop their knowledge on causal inference through machine learning and modeling causality using graphs. Readers may need a basic knowledge of probability (basic distributions, conditional probabilities, ...), statistics (confidence intervals, linear models), machine learning (cross validation and some nonlinear models) and some experience programming.
Request Code : ZLIBIO3637527
Categories:
Year:
2023
Publisher:
Manning
Language:
English
Pages:
217

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