Samuel Rochette: Quantifying uncertainty in machine learning models | PyData New York 2019
32:43
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Samuel Rochette: Quantifying uncertainty in machine learning models | PyData New York 2019
Many models give a lot more information during the inference process that we usually know. We will begin with an intrinsic estimation of all the distribution with random forest algorithm. Then we will extend those "prediction intervals" to almost every regression models thanks to the quantile loss. Eventually we will discuss about probability ...
4.2K viewsNov 30, 2019
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