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.
The SuperLearner prediction method is implemented in a CRAN package freely available for the open source R programming language.
Mark van der Laan, Eric Polley, Alan Hubbard
SuperLearner: Super Learner Prediction
Eric Polley, Erin LeDell, Chris Kennedy, Sam Lendle, Mark van der Laan
Mark van der Lan and Sherri Rose
- StatisticsThe practice or science concerning the collection, organization, analyzation, interpretation, and presentation of data, particularly in large quantities.
- Machine learningA field of computer science enabling computers to learn.
- BiostatisticsStudy of statistics application in biology
- Causal inference