DC pole | Wartość | Język |
dc.contributor.author | Koprowski, Robert | - |
dc.contributor.author | Foster, Kenneth R. | - |
dc.date.accessioned | 2019-04-25T07:47:46Z | - |
dc.date.available | 2019-04-25T07:47:46Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | BioMedical Engineering OnLine, Vol. 17 (2018), Art. No. 17 | pl_PL |
dc.identifier.issn | 1475-925X | - |
dc.identifier.uri | http://hdl.handle.net/20.500.12128/8961 | - |
dc.description.abstract | This article is a review of the book “Master machine learning algorithms, discover how
they work and implement them from scratch” (ISBN: not available, 37 USD, 163 pages)
edited by Jason Brownlee published by the Author, edition, v1.10 http://MachineLearningMastery.
com. An accompanying commentary discusses some of the issues that are
involved with use of machine learning and data mining techniques to develop predictive
models for diagnosis or prognosis of disease, and to call attention to additional
requirements for developing diagnostic and prognostic algorithms that are generally
useful in medicine. Appendix provides examples that illustrate potential problems with
machine learning that are not addressed in the reviewed book. | pl_PL |
dc.language.iso | en | pl_PL |
dc.rights | Uznanie autorstwa 3.0 Polska | * |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/pl/ | * |
dc.subject | Machine learning | pl_PL |
dc.subject | Algorithms | pl_PL |
dc.subject | Biomedical technologies | pl_PL |
dc.subject | Spreadsheets | pl_PL |
dc.subject | Overfitting | pl_PL |
dc.subject | Leakage | pl_PL |
dc.subject | Practice guidelines | pl_PL |
dc.title | Machine learning and medicine: book review and commentary | pl_PL |
dc.type | info:eu-repo/semantics/review | pl_PL |
dc.identifier.doi | 10.1186/s12938-018-0449-9 | - |
Pojawia się w kolekcji: | Artykuły (WNŚiT)
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