Machine learning and conventional statistics: making sense of the differences

Reference : Machine learning and conventional statistics: making sense of the differences


	Document type :	Scientific journals : Article
	Discipline(s) :	Human health sciences : Orthopedics, rehabilitation & sports medicine
	To cite this reference:	http://hdl.handle.net/10993/54417

Title :	Machine learning and conventional statistics: making sense of the differences
Language :	English
Author, co-author :	Ley, Christophe [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Mathematics (DMATH) >]
	Martin, L. Kyle [University of Minnesota > Department of Orthopedic Surgery]
	Pareek, Ayoosh [Mayo Clinic, Rochester > Department of Orthopaedic Surgery]
	Groll, Andreas [TU Dortmund University > Department of Statistics]
	Seil, Romain [Centre Hospitalier Luxembourg and Luxembourg Institute of Health > Department of Orthopaedic Surgery]
	Tischer, Thomas [Waldkrankenhaus, Erlangen > Department of Orthopaedic and Traumatologic Surgery]
Publication date :	2022
Journal title :	Knee Surgery, Sports Traumatology, Arthroscopy
Publisher :	Springer
Volume :	30
Pages :	753-757
Peer reviewed :	Yes
Audience :	International
ISSN :	0942-2056
e-ISSN :	1433-7347
Country :	Germany
Permalink :	http://hdl.handle.net/10993/54417
DOI :	10.1007/s00167-022-06896-6

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