Machine learning and conventional statistics: making sense of the differences-Reference-Cited by-同舟云学术

Machine learning and conventional statistics: making sense of the differences

Published:2022-02-02 Issue:3 Volume:30 Page:753-757
ISSN:0942-2056
Container-title:Knee Surgery, Sports Traumatology, Arthroscopy
language:en
Short-container-title:Knee Surg Sports Traumatol Arthrosc

Author:

Ley Christophe^ORCID,Martin R. Kyle,Pareek Ayoosh,Groll Andreas,Seil Romain,Tischer Thomas

Publisher

Springer Science and Business Media LLC

Subject

Orthopedics and Sports Medicine,Surgery

Link

https://link.springer.com/content/pdf/10.1007/s00167-022-06896-6.pdf

Reference6 articles.

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3. Martin RK, Wastvedt S, Pareek A, Persson A, Visnes H, Fenstad AM, Moatshe G, Wolfson J, Engebretsen L (2021) Predicting anterior cruciate ligament reconstruction revision: a machine learning analysis utilizing the Norwegian Knee Ligament Register. J Bone Joint Surg Am. https://doi.org/10.2106/JBJS.21.00113

4. Molnar C (2019) Interpretable machine learning: a guide for making black box models explainable. https://christophm.github.io/interpretable-ml-book/

5. Silver D, Schrittwieser J, Simonyan K, Antonoglu I, Huang A, Guez A, Hubert T, Baker L, Lai M, Bolton A, Chen Y, Lillicrap T, Hui F, Sifre L, van den Driessche G, Graepel T, Hassabis D (2017) Mastering the game of Go without human knowledge. Nature 550:354–359

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