Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/515
Full metadata record
DC FieldValueLanguage
dc.contributor.authorWithanawasam, Jayani-
dc.date.accessioned2026-06-05T11:09:36Z-
dc.date.available2026-06-05T11:09:36Z-
dc.date.issued2015-06-
dc.identifier.isbn978-1-78355-499-7-
dc.identifier.urihttp://hdl.handle.net/123456789/515-
dc.description.abstractApache Mahout is a scalable machine learning library that provides algorithms for classification, clustering, and recommendations. This book helps you to use Apache Mahout to implement widely used machine learning algorithms in order to gain better insights about large and complex datasets in a scalable manner.en_US
dc.language.isoenen_US
dc.publisherPackt Publishingen_US
dc.relation.ispartofseries1120615;-
dc.subjectApache Mahout Essentialsen_US
dc.titleApache Mahout Essentialsen_US
dc.title.alternativeImplement top-notch machine learning algorithms for classification, clustering, and recommendations with Apache Mahouten_US
dc.typeBooken_US
Appears in Collections:E-Books

Files in This Item:
File Description SizeFormat 
Apache Mahout Essentials.pdf4.73 MBAdobe PDFView/Open


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