Probabilistic supervised learning

2 Jan 2018Frithjof GressmannFranz J. KirályBilal MateenHarald Oberhauser

Predictive modelling and supervised learning are central to modern data science. With predictions from an ever-expanding number of supervised black-box strategies - e.g., kernel methods, random forests, deep learning aka neural networks - being employed as a basis for decision making processes, it is crucial to understand the statistical uncertainty associated with these predictions... (read more)

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