Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/1621
Full metadata record
DC FieldValueLanguage
dc.contributor.authorHwang, Yoon Hyup-
dc.date.accessioned2026-07-30T05:08:00Z-
dc.date.available2026-07-30T05:08:00Z-
dc.date.issued2018-06-
dc.identifier.isbn978-1-78899-640-2-
dc.identifier.urihttp://hdl.handle.net/123456789/1621-
dc.description.abstractIn the era of data, it is hard to overlook the importance of machine learning (ML) and data science. ML has been used and adopted widely across many industries, and its adoption rate is growing faster than ever. Not only big technology companies, such as Google, Microsoft, and Apple, but also many non-technology companies such as Bloomberg and Goldman Sachs, invest heavily in ML. From searching for what to eat for dinner tonight on search engines to getting approvals for new credit cards, the applications of ML are everywhere in our daily lives. As a fellow data scientist and ML practitioner, I cannot emphasize enough the importance of ML in the current era of data, especially of big data.en_US
dc.language.isoenen_US
dc.publisherPackt Publishingen_US
dc.relation.ispartofseries1130618;-
dc.subjectC# Machine Learning Projectsen_US
dc.titleC# Machine Learning Projectsen_US
dc.title.alternativeNine real-world projects to build robust and high-performing machine learning models with C#en_US
dc.typeBooken_US
Appears in Collections:E-Books

Files in This Item:
File Description SizeFormat 
C# Machine Learning Projects.pdf11.32 MBAdobe PDFView/Open


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