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Introduction to Generalized Additive Models with R and mgcv
Scientists are increasingly faced with complex, high dimensional data, and require flexible statistical models that can accommodate them. There is often a tension between applying simple models that don't fit the data that well but are really easy to interpret, and using more black-box machine learning methods that do fit the data well but are ...
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