Kubeflow for machine learning: (Record no. 200025)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01872nam a22002657a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260602164445.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 260602b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9789385889448 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.31 GRA-K |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Grant, Trevor |
| 245 ## - TITLE STATEMENT | |
| Title | Kubeflow for machine learning: |
| Remainder of title | from lab to production |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Mumbai |
| Name of publisher | Shroff Publishers & Distributors Pvt. Ltd. |
| Year of publication | 2021 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xx, 239p. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Kubeflow provides a collection of cloud native tools for different stages of a model's lifecycle, from data exploration, feature preparation, and model training to model serving. This guide helps data scientists build production-grade machine learning implementations with Kubeflow and shows data engineers how to make models scalable and reliable.<br/><br/>Using examples throughout the book, authors Holden Karau, Trevor Grant, Ilan Filonenko, Richard Liu, and Boris Lublinsky explain how to use Kubeflow to train and serve your machine learning models on top of Kubernetes in the cloud or in a development environment on-premises.<br/><br/>Understand Kubeflow's design, core components, and the problems it solves<br/>Understand the differences between Kubeflow on different cluster types<br/>Train models using Kubeflow with popular tools including Scikit-learn, TensorFlow, and Apache Spark<br/>Keep your model up to date with Kubeflow Pipelines<br/>Understand how to capture model training metadata<br/>Explore how to extend Kubeflow with additional open source tools<br/>Use hyperparameter tuning for training<br/>Learn how to serve your model in production |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Artificial Intelligence |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Machine learning |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Karau, Holden |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Lublinsky, Boris |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Liu, Richard |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Filonenko, Ilan |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books and Monographs |
| Full call number | Accession Number | Koha item type | Lost status | Damaged status | Permanent Location | Current Location | Shelving location | Date acquired | Source of acquisition |
|---|---|---|---|---|---|---|---|---|---|
| 006.31 GRA-K | 102862 | Books and Monographs | Central Library, NIT Jalandhar | Central Library, NIT Jalandhar | General Stacks | 20.05.2026 | Mumbai, TV Enterprises | ||
| 006.31 GRA-K | 102863 | Books and Monographs | Central Library, NIT Jalandhar | Central Library, NIT Jalandhar | General Stacks | 20.05.2026 | Mumbai, TV Enterprises | ||
| 006.31 GRA-K | 102864 | Books and Monographs | Central Library, NIT Jalandhar | Central Library, NIT Jalandhar | General Stacks | 20.05.2026 | Mumbai, TV Enterprises | ||
| 006.31 GRA-K | 102865 | Books and Monographs | Central Library, NIT Jalandhar | Central Library, NIT Jalandhar | General Stacks | 20.05.2026 | Mumbai, TV Enterprises | ||
| 006.31 GRA-K | 102866 | Books and Monographs | Central Library, NIT Jalandhar | Central Library, NIT Jalandhar | General Stacks | 20.05.2026 | Mumbai, TV Enterprises |