Observational Machine Learning Method: Revision history

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    1 December 2024

    • curprev 23:1823:18, 1 December 2024‎ Dendrogram talk contribs‎ 4,378 bytes +4,378‎ 새 문서: '''Observational Machine Learning Methods''' are techniques designed to analyze data collected from observational studies rather than controlled experiments. In such studies, the assignment of treatments or interventions is not randomized, which can introduce biases and confounding factors. Observational ML methods aim to identify patterns, relationships, and causal effects within these datasets. ==Key Challenges in Observational Data== Observational data often comes with inhere... Tag: Visual edit
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