What is this book about? Causal methods present unique challenges compared to traditional machine learning and statistics. Learning causality can be challenging, but it offers distinct advantages that ...
Abstract: - this paper proposes a novel approach in decision making in the agriculture sector by combining Bayesian inference with machine learning techniques, specifically random forest (RF). Using a ...
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Abstract: Causal inference plays a crucial role in data science applications. To address the issue of estimating the distributions of observational, interventional, and counterfactual data. We present ...
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