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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Zian Wang | - |
| dc.contributor.author | Andre Ye | - |
| dc.date.accessioned | 2024-06-25T07:56:37Z | - |
| dc.date.available | 2024-06-25T07:56:37Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.uri | http://thuvienso.thanglong.edu.vn//handle/TLU/10326 | - |
| dc.description.abstract | Who This Book Is For Data scientists and researchers of all levels from beginner to advanced looking to level up results on tabular data with deep learning or to understand the theoretical and practical aspects of deep tabular modeling research. Applicable to readers seeking to apply deep learning to all sorts of complex tabular data contexts, including business, finance, medicine, education, and security | vi |
| dc.language.iso | en | vi |
| dc.subject | Deep learning (Machine learning) | Học sâu (Học máy) | vi |
| dc.title | Modern deep learning for tabular data : novel approaches to common modeling problems | vi |
| dc.type | Sách/Book | vi |
| Appears in Collections | Tin học | |
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