Your ML model predicts perfectly but recommends wrong actions. Learn the 5-question diagnostic, method comparison matrix, and Python workflow to fix it with causal inference. The post Causal Inference Is Eating Machine Learning appeared first on Towards Data Science .
A Journey Through Causal Inference and Inspiration In 2015, on the brink of defending a dissertation in biostatistics, the author found new hope and direction. Initially focused on causal inference, the research pivoted toward handling longitudinal missing data under expert mentorship. Yet, a lingering curiosity for causal inference remained—until a lecture by Professor Susan Murphy introduced th…
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 […] The post DoWhy evo…
