Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-22708
Publication type: Review
Title: Simon Rogers and Mark Girolami: A first course in machine learning
Authors: Mildenberger, Thoralf
et. al: No
DOI: 10.1007/s00362-013-0577-z
10.21256/zhaw-22708
Published in: Statistical Papers
Volume(Issue): 56
Issue: 1
Page(s): 271
Issue Date: 2013
Reviewed work: Rogers, Simon; Girolami, Mark: A first course in machine learning. Boca Raton : CRC Press, 2012. ISBN 978-143982414-6
Publisher / Ed. Institution: Springer
ISSN: 0932-5026
1613-9798
Language: English
Subject (DDC): 006: Special computer methods
Further description: Erworben im Rahmen der Schweizer Nationallizenzen (http://www.nationallizenzen.ch)
URI: https://digitalcollection.zhaw.ch/handle/11475/22708
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Data Analysis and Process Design (IDP)
Appears in collections:Publikationen School of Engineering

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Mildenberger, T. (2013). Simon Rogers and Mark Girolami: A first course in machine learning. Statistical Papers, 56(1), 271. https://doi.org/10.1007/s00362-013-0577-z
Mildenberger, T. (2013) ‘Simon Rogers and Mark Girolami: A first course in machine learning’, Statistical Papers, 56(1), p. 271. Available at: https://doi.org/10.1007/s00362-013-0577-z.
T. Mildenberger, “Simon Rogers and Mark Girolami: A first course in machine learning,” Statistical Papers, vol. 56, no. 1, p. 271, 2013, doi: 10.1007/s00362-013-0577-z.
MILDENBERGER, Thoralf, 2013. Simon Rogers and Mark Girolami: A first course in machine learning. Statistical Papers. 2013. Bd. 56, Nr. 1, S. 271. DOI 10.1007/s00362-013-0577-z
Mildenberger, Thoralf. 2013. “Simon Rogers and Mark Girolami: A First Course in Machine Learning.” Statistical Papers 56 (1): 271. https://doi.org/10.1007/s00362-013-0577-z.
Mildenberger, Thoralf. “Simon Rogers and Mark Girolami: A First Course in Machine Learning.” Statistical Papers, vol. 56, no. 1, 2013, p. 271, https://doi.org/10.1007/s00362-013-0577-z.


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