Key causal learning tool DoWhy evolves and grows

Found 30 days ago at Microsoft Press

Identifying causal effects is an integral part of scientific inquiry. It helps us understand everything from educational outcomes to the effects of social policies to risk factors for diseases. Questions of cause and effect are also critical for the design and data driven evaluation of many technological systems we build today. To help data scientists better understand and deploy causal...

Read the article at Microsoft Press

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