Machine learning on Kubernetes : (Record no. 8340)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 04423cam a22005051i 4500 |
| 001 - CONTROL NUMBER | |
| control field | on1328022045 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OCoLC |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20241121073029.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION | |
| fixed length control field | m d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr ||||||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 220518s2022 enk o 000 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | UKMGB |
| Language of cataloging | eng |
| Description conventions | rda |
| -- | pn |
| Transcribing agency | UKMGB |
| Modifying agency | ORMDA |
| -- | OCLCF |
| -- | N$T |
| 015 ## - NATIONAL BIBLIOGRAPHY NUMBER | |
| National bibliography number | GBC293022 |
| Source | bnb |
| 016 7# - NATIONAL BIBLIOGRAPHIC AGENCY CONTROL NUMBER | |
| Record control number | 020624341 |
| Source | Uk |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1803231653 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781803231655 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Cancelled/invalid ISBN | 9781803241807 (pbk.) |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | 3291290 |
| -- | (N$T) |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)1328022045 |
| 037 ## - SOURCE OF ACQUISITION | |
| Stock number | 9781803231655 |
| Source of stock number/acquisition | Packt Publishing Pvt. Ltd |
| 037 ## - SOURCE OF ACQUISITION | |
| Stock number | 9781803241807 |
| Source of stock number/acquisition | O'Reilly Media |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | Q325.5 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.3/1 |
| Edition number | 23/eng/20220706 |
| 049 ## - LOCAL HOLDINGS (OCLC) | |
| Holding library | MAIN |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Masood, Faisal, |
| Relator term | author. |
| 9 (RLIN) | 20092 |
| 245 10 - TITLE STATEMENT | |
| Title | Machine learning on Kubernetes : |
| Remainder of title | a practical handbook for building and using a complete open source machine learning platform on Kubernetes / |
| Statement of responsibility, etc | Faisal Masood, Ross Brigoli. |
| 264 #1 - | |
| -- | Birmingham : |
| -- | Packt Publishing, |
| -- | 2022. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource |
| 336 ## - | |
| -- | text |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | rdacarrier |
| 588 ## - | |
| -- | Description based on CIP data; resource not viewed. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Build a Kubernetes-based self-serving, agile data science and machine learning ecosystem for your organization using reliable and secure open source technologies Key Features Build a complete machine learning platform on Kubernetes Improve the agility and velocity of your team by adopting the self-service capabilities of the platform Reduce time-to-market by automating data pipelines and model training and deployment Book Description MLOps is an emerging field that aims to bring repeatability, automation, and standardization of the software engineering domain to data science and machine learning engineering. By implementing MLOps with Kubernetes, data scientists, IT professionals, and data engineers can collaborate and build machine learning solutions that deliver business value for their organization. You'll begin by understanding the different components of a machine learning project. Then, you'll design and build a practical end-to-end machine learning project using open source software. As you progress, you'll understand the basics of MLOps and the value it can bring to machine learning projects. You will also gain experience in building, configuring, and using an open source, containerized machine learning platform. In later chapters, you will prepare data, build and deploy machine learning models, and automate workflow tasks using the same platform. Finally, the exercises in this book will help you get hands-on experience in Kubernetes and open source tools, such as JupyterHub, MLflow, and Airflow. By the end of this book, you'll have learned how to effectively build, train, and deploy a machine learning model using the machine learning platform you built. What you will learn Understand the different stages of a machine learning project Use open source software to build a machine learning platform on Kubernetes Implement a complete ML project using the machine learning platform presented in this book Improve on your organization's collaborative journey toward machine learning Discover how to use the platform as a data engineer, ML engineer, or data scientist Find out how to apply machine learning to solve real business problems Who this book is for This book is for data scientists, data engineers, IT platform owners, AI product owners, and data architects who want to build their own platform for ML development. Although this book starts with the basics, a solid understanding of Python and Kubernetes, along with knowledge of the basic concepts of data science and data engineering will help you grasp the topics covered in this book in a better way. |
| 590 ## - LOCAL NOTE (RLIN) | |
| Local note | Added to collection customer.56279.3 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine learning. |
| 9 (RLIN) | 2890 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Open source software. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine learning. |
| Source of heading or term | fast |
| -- | (OCoLC)fst01004795 |
| 9 (RLIN) | 2890 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Open source software. |
| Source of heading or term | fast |
| -- | (OCoLC)fst01046097 |
| 655 #4 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Electronic books. |
| 9 (RLIN) | 3907 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Brigoli, Ross, |
| Relator term | author. |
| 9 (RLIN) | 20093 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Display text | Print version: |
| International Standard Book Number | 9781803241807 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | EBSCOhost |
| Uniform Resource Identifier | <a href="https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3291290">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3291290</a> |
| 938 ## - | |
| -- | EBSCOhost |
| -- | EBSC |
| -- | 3291290 |
| 994 ## - | |
| -- | 92 |
| -- | N$T |
No items available.