Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/1395Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Chew, Xuanyi | - |
| dc.date.accessioned | 2026-07-24T06:55:41Z | - |
| dc.date.available | 2026-07-24T06:55:41Z | - |
| dc.date.issued | 2018-11 | - |
| dc.identifier.isbn | 978-1-78899-340-1 | - |
| dc.identifier.uri | http://hdl.handle.net/123456789/1395 | - |
| dc.description.abstract | Go is the perfect language for machine learning. Its simple syntax helps to clearly describe complex algorithms, but does not obscure developers from understand how to run efficient optimized code. This book will teach you how to implement machine learning in Go to make programs that are easy to deploy and code that is not only easy to understand and debug, but that can also have its performance measured. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Packt Publishing | en_US |
| dc.relation.ispartofseries | 1301118; | - |
| dc.subject | Go Machine Learning Projects | en_US |
| dc.title | Go Machine Learning Projects | en_US |
| dc.title.alternative | Eight projects demonstrating end-to-end machine learning and predictive analytics applications in Go | en_US |
| dc.type | Book | en_US |
| Appears in Collections: | E-Books | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Go Machine Learning Projects.pdf | 5.95 MB | Adobe PDF | View/Open |
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