Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/1524
Full metadata record
DC FieldValueLanguage
dc.contributor.authorNatingga, Dávid-
dc.date.accessioned2026-07-28T10:12:01Z-
dc.date.available2026-07-28T10:12:01Z-
dc.date.issued2018-10-
dc.identifier.isbn978-1-78980-607-6-
dc.identifier.urihttp://hdl.handle.net/123456789/1524-
dc.description.abstractData science is a discipline at the intersection of machine learning, statistics, and data mining with the objective of gaining new knowledge from existing data by means of algorithmic and statistical analysis. In this book, you will learn the seven most important ways in data science of analyzing the data. Each chapter first explains its algorithm or analysis as a simple concept, supported by a trivial example. Further examples and exercises are used to build and expand your knowledge of a particular type of analysis.en_US
dc.language.isoenen_US
dc.publisherPact Publicationen_US
dc.relation.ispartofseries1311018;-
dc.subjectData Science Algorithms in a Weeken_US
dc.titleData Science Algorithms in a Weeken_US
dc.title.alternativeTop 7 algorithms for scientific computing, data analysis, and machine learningen_US
dc.typeBooken_US
Appears in Collections:E-Books

Files in This Item:
File Description SizeFormat 
Data Science Algorithms in a Week.pdf14.75 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.