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.

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Edits on 7 Aug, 2018
Golden AI"Linkify text links in standard tables"
Golden AI edited on 7 Aug, 2018
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Further reading

Author
Title
Link
Type

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

SuperLearner: Super Learner Prediction

https://cran.r-project.org/web/packages/SuperLearner/index.htmlhttps://cran.r-project.org/web/packages/SuperLearner/index.html

Mark van der Laan, Eric Polley, Alan Hubbard

Super Learner

https://www.ncbi.nlm.nih.gov/pubmed/17910531https://www.ncbi.nlm.nih.gov/pubmed/17910531

Academic paper

Mark van der Lan and Sherri Rose

Targeted Learning

http://www.targetedlearningbook.com/about/http://www.targetedlearningbook.com/about/

Edits on 27 Jul, 2018
Jude Gomila
Jude Gomila edited on 27 Jul, 2018
Edits made to:
Article (+11/-11 characters)
Article

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 PearlJudea Pearl.

Edits on 18 Jul, 2018
Alex Dean
Alex Dean edited on 18 Jul, 2018
Alex Dean
Alex Dean edited on 18 Jul, 2018
Alex Dean
Alex Dean edited on 18 Jul, 2018
Alex Dean
Alex Dean edited on 18 Jul, 2018
Edits made to:
Article (+16/-16 characters)
Article

Super Learner is a targeted machine learningmachine 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.

Edits on 5 Jun, 2018
Golden AI"Corrections"
Golden AI edited on 5 Jun, 2018
Edits made to:
Further reading (+5/-5 characters)
Further reading

Author
Title
Link
Type

Mark van der Laan, Eric Polley, Alan Hubbard

Super Learner

https://www.ncbi.nlm.nih.gov/pubmed/17910531

Academic Paperpaper

Edits on 1 Jun, 2018
Golden AI"Merging standard tables"
Golden AI edited on 1 Jun, 2018
Edits made to:
Academic papers (-1 rows) (-3 cells) (-101 characters)
Further reading (+1 rows) (+4 cells) (+115 characters)
Academic papers

Author
Title
Link

Mark van der Laan, Eric Polley, Alan Hubbard

Super Learner

https://www.ncbi.nlm.nih.gov/pubmed/17910531

Further reading

Author
Title
Link
Type

Mark van der Laan, Eric Polley, Alan Hubbard

Super Learner

https://www.ncbi.nlm.nih.gov/pubmed/17910531

Academic Paper

Edits on 20 Mar, 2018
Alex Dean"Addition of R implementation"
Alex Dean edited on 20 Mar, 2018
Edits made to:
Article (+147 characters)
Article

Implementation in R

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

Edits on 4 Oct, 2017
Alex Dean
Alex Dean edited on 4 Oct, 2017
Edits made to:
Topic thumbnail

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.

Alex Dean
Alex Dean edited on 4 Oct, 2017
Edits made to:
Article (+9 characters)
Article

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.

Alex Dean
Alex Dean edited on 4 Oct, 2017
Edits made to:
Description (+6/-9 characters)
Article (+84/-64 characters)
Topic thumbnail

Super Learner

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

Article

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

Alex Dean
Alex Dean edited on 4 Oct, 2017
Edits made to:
Academic papers (+1 rows)
People (+7 rows) (+6 cells) (+68 characters)
Further reading (+1 rows) (+4 cells) (+171/-2 characters)
People

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Alan Hubbard

Chris Kennedy

Eric Polley

Erin LeDell

Mark van der Laan

Sam Lendle

Sherri Rose

Academic papers

Author
Title
Link

Mark van der Laan, Eric Polley, Alan Hubbard

Super Learner

https://www.ncbi.nlm.nih.gov/pubmed/17910531

Further reading

Author
Title
Link

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

SuperLearner: Super Learner Prediction

https://cran.r-project.org/web/packages/SuperLearner/index.html

Targeted Learning

http://www.targetedlearningbook.com/about/

Alex Dean
Alex Dean edited on 4 Oct, 2017
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Description (+164/-51 characters)
Article (+462 characters)
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Super Learner

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

Article

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

Further reading

Author
Title
Link

Targeted Learning

http://www.targetedlearningbook.com/about/

Categories
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Alex Dean"Initial topic creation"
Alex Dean created this topic on 4 Oct, 2017
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 Super Learner

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