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dc.contributor.author | Johnston Benjamin | |
dc.contributor.author | Jones Aaron | |
dc.contributor.author | Kruger Christopher | |
dc.date.accessioned | 2024-01-26T21:32:30Z | |
dc.date.available | 2024-01-26T21:32:30Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Johnston. Applied unsupervised learning with Python: discover hidden patterns and relationships in unstructured data with Python - 1 online resource (483 pages) - URL: https://libweb.kpfu.ru/ebsco/pdf/2148643.pdf | |
dc.identifier.isbn | 9781789958379 | |
dc.identifier.isbn | 1789958377 | |
dc.identifier.uri | https://dspace.kpfu.ru/xmlui/handle/net/178259 | |
dc.description.abstract | Starting with the basics, Applied Unsupervised Learning with Python explains various techniques that you can apply to your data using the powerful Python libraries so that your unlabeled data reveals solutions to all your business questions. | |
dc.language | English | |
dc.language.iso | en | |
dc.subject.other | Python (Computer program language) | |
dc.subject.other | Python (Computer program language) | |
dc.subject.other | Electronic books. | |
dc.title | Applied unsupervised learning with Python: discover hidden patterns and relationships in unstructured data with Python/ Benjamin Johnston, Aaron Jones and Christopher Kruger. | |
dc.type | Book | |
dc.description.pages | 1 online resource (483 pages) | |
dc.collection | Электронно-библиотечные системы | |
dc.source.id | EN05CEBSCO05C313 |