R Short Talk: Interpretable machine learning model, example of using gradient boosted GAM in R

event 2018-06-16 (Day 1) ~ 17:00 - 17:30
explore Conference Hall 7
comment English
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comment English
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Abstract

Interpretability is an oft-overlooked yet sometimes critical aspect in machine learning. It allows you to gain more insights about the underlying data generating process and more importantly increase the credibility of your model. A well-developed package in R allows you to build interpretable models with customized complexity in a few lines of code.


Tom Li

Tom Li

R Community / Hong Kong

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