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R users gain a powerful, extensible deep learning framework with `mlr3torch`, seamlessly integrating neural networks into the familiar `mlr3` ecosystem for streamlined experimentation and deployment.
Unlock robust feature importance analysis with `xplainfi`, an R package that fills critical gaps by offering conditional importance methods and statistical inference for diverse ML models.
Epidemiologists can leverage this practical guide, complete with R code, to navigate the complexities of applying machine learning to modern, high-dimensional health data.
