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Super Learner

Super Learner

Super Learner is a targeted machine learning method developed by University of California Berkeley professor Mark van der Laan and Harvard professor Sherri Rose.

Super Learner is a targeted machine learning algorithm developed by University of California Berkeley professor Mark van der Laan and Harvard University professor Sherri Rose. It allows for utilization of ensemble machine learning algorithms in the fitting of probability distributions on observational data towards a target parameter defining a scientific question of interest. The book Targeted Learning builds upon foundational work in the field of casual inference done by Judea Pearl.

Implementation in R

The SuperLearner prediction method is implemented in a CRAN package freely available for the open source R programming language.

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People

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Role
Related Golden topics

Alan Hubbard

Chris Kennedy

Eric Polley

Erin LeDell

Mark van der Laan

Sam Lendle

Sherri Rose

Further reading

Author
Title
Link
Type

Eric Polley, Erin LeDell, Chris Kennedy, Sam Lendle, Mark van der Laan

SuperLearner: Super Learner Prediction

Mark van der Laan, Eric Polley, Alan Hubbard

Super Learner

Academic paper

Mark van der Lan and Sherri Rose

Targeted Learning

Documentaries, videos and podcasts

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Date
Link

Companies

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CEO
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Products/Services

References