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Pragmatic Machine Learning with Python: Learn How to Deploy Machine learning Models in Production (Record no. 79178)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 00526 a2200181 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240611b |||||||| |||| 00| 0 eng d |
| 020 ## - ISBN | |
| International Standard Book Number | 9789389845365 |
| Price | 849 |
| 040 ## - CATALOGING SOURCE | |
| Library Name | AVIT Central Library |
| 041 ## - Language | |
| Language | English |
| 082 ## - DDC NUMBER | |
| Classification number | 006.31 |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Nag Avishek |
| 110 ## - MAIN ENTRY--CORPORATE NAME | |
| Department | Comkputer Science |
| 245 ## - TITLE STATEMENT | |
| Title | Pragmatic Machine Learning with Python: Learn How to Deploy Machine learning Models in Production |
| Statement of responsibility | Nag Avishek |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher, distributor, etc | BPB Publications |
| Date of publication, distribution, etc | 2023 |
| Place of publication, distribution, etc | New Delhi |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pages | 317p. |
| 650 ## - Subject | |
| Subject | Computer Science |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Koha collection | Location (home branch) | Sublocation or collection (holding branch) | Date acquired | Source of acquisition | Cost, normal purchase price | Koha issues (times borrowed) | Koha full call number | Barcode (Accession No.) | Koha date last seen | Cost, replacement price | Price effective from | Koha item type | Public note |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Purchased | AVIT Central Library | AVIT Central Library | 10/06/2024 | 10 | 721.65 | 006.31 NAG-P | 42171 | 10/06/2024 | 849.00 | 10/06/2024 | Books | EE/2024/CRB/51 |