| 1. |
Lakshmanan, Valliappa: Kikai gakushū dezain patān : dēta junbi, moderu kōchiku, MLOps no jissenjō no mondai to kaiketsu / Valliappa Lakshmanan, Sara Robinson, Michael Munn cho ; Washizaki Hironori, Takeuchi Hironori, Nator… . - Shohan.. -
Tōkyō-to Shinjuku-ku: Orairī Japan, 2021. - 1 online resource (414 pages), ISBN 978-4-87311-956-4機械学習デザインパターン : データ準備, モデル構築, MLOpsの実践上の問題と解決 / Valliappa Lakshmanan, Sara Robinson, Michael Munn著 ; 鷲崎弘宜, 竹内広宜, 名取直毅, 吉岡信和訳 = Machine learning design patterns / Valliappa Lakshmanan, Sara Robinson, and Michael Munn.. - 初版: オライリー・ジャパン, 2021
 Online resource |
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| 2. |
Lakshmanan, Valliappa: Practical Machine Learning for Computer Vision / Lakshmanan, Valliappa. - 1st edition. -
[Erscheinungsort nicht ermittelbar]: O'Reilly Media, Inc., 2021. - 1 online resource (140 pages)
Online resource |
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| 3. |
Lakshmanan, Valliappa: Design Patterns für Machine Learning : Entwurfsmuster für Datenaufbereitung, Modellbildung und MLOps / Valliappa Lakshmanan, Sara Robinson & Michael Munn ; deutsche Übersetzung von Frank Langenau. - 1. Auflage. -
Heidelberg: O'Reilly, 2022. - 430 Seiten : Illustrationen, ISBN 978-3-96009-164-6
 Book/no value |
Shelfmark: LN-U 10-19606
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| 4. |
McMahon, Andrew P.: Machine learning engineering with Python : manage the lifecycle of machine learning models using MLOps with practical examples / Andrew P. McMahon ; foreword by Adi Polak. - Second edition.. -
Birmingham, UK: Packt Publishing Ltd., 2023. - 1 online resource (462 pages) : illustrations., ISBN 978-1-83763-196-4
(Expert insight)
Online resource |
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| 5. |
Lakshmanan, Valliappa: Ji qi xue xi she ji mo shi = : Machine learning design patterns / Valliappa Lakshmanan, Sara Robinson, Michael Munn zhu ; Sun Meng, Zou Xia, Jia Chong, Wang Yimin yi. - Di 1 ban.. -
Nanjing: Dong nan da xue chu ban she = Southeast University Press, 2022. - 1 online resource (386 pages) : illustrations, ISBN 978-7-5641-9677-6机器学习设计模式 = : Machine learning design patterns / Valliappa Lakshmanan, Sara Robinson, Michael Munn 著 ; 孙蒙, 邹霞, 贾冲, 王艺敏 译.. - 第1版: 东南大学出版社 = Southeast University Press, 2022
Online resource |
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| 6. |
Deza, Alfredo: Real World Computer Vision and MLOps Cookbook- Chapter 7 Walkthrough Practical MLOps / Deza, Alfredo. - 1st edition. -
[Erscheinungsort nicht ermittelbar]: Pragmatic AI Solutions, 2021. - 1 online resource (1 video file, approximately 1 hr., 32 min.)
Online resource  Film |
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| 7. |
Lat, Joshua Arvin: MACHINE LEARNING ENGINEERING ON AWS : building, scaling, and securing machine learning systems and MLOps pipelines in production / Joshua Arvin Lat. -
[Erscheinungsort nicht ermittelbar]: PACKT PUBLISHING LIMITED, 2022. - 1 online resource, ISBN 978-1-80323-138-9
Online resource |
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| 8. |
Brigoli, Ross: MLOps with Red Hat OpenShift : a cloud-native approach to machine learning operations. -
Birmingham, UK: Packt Publishing, Limited, 2024. - 1 online resource (238 p.) : illustrations, ISBN 978-1-80512-585-3
Online resource |
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| 9. |
Luu, Hien: MLOps with Ray : best practices and strategies for adopting machine learning operations / Hien Luu, Max Pumperla, Zhe Zhang. -
Berkeley, CA: Apress L. P., 2024. - 1 online resource (xi, 338 pages) : illustrations.
Online resource |
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| 10. |
Sinha, Debu: PRACTICAL MACHINE LEARNING ON DATABRICKS : seamlessly transition ML models and MLOps on Databricks / Debu Sinha. - 1st edition.. -
Birmingham, UK: Packt Publishing Ltd., 2023. - 1 online resource, ISBN 978-1-80181-829-2
Online resource |
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| 11. |
Bowne-Anderson, Hugo: Radar talks : MLOps versus DevOps with Hugo Bowne-Anderson. - [First edition].. -
[Place of publication not identified]: O'Reilly Media, Inc., [2022]. - 1 online resource (1 video file (51 min.)) : sound, color.
Online resource Film |
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| 12. |
Bhatia, Jasmeet: THE DEFINITIVE GUIDE TO GOOGLE VERTEX AI : accelerate your machine learning journey with Google Cloud Vertex AI and MLOps best practices / Jasmeet Bhatia, Kartik Chaudhary. - 1st edition.. -
Birmingham, UK: Packt Publishing Ltd., 2023. - 1 online resource, ISBN 978-1-80181-332-7
Online resource |
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| 13. |
Learn MLOps for machine learning. - [First edition].. -
[Place of publication not identified]: Pearson, [2023]. - 1 online resource (1 video file (4 hr., 11 min.)) : sound, color., ISBN 978-0-13-820478-5
Online resource Film |
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| 14. |
Deza, Alfredo: MLOPs Foundations : Chapter 2 Walkthrough of Practical MLOps / Deza, Alfredo. - 1st edition. -
[Erscheinungsort nicht ermittelbar]: Pragmatic AI Solutions, 2021. - 1 online resource (1 video file, approximately 1 hr., 27 min.)
Online resource Film |
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| 15. |
Tranquillin, Marco: Architecting data and machine learning platforms : enable analytics and AI-driven innovation in the cloud / Marco Tranquillin, Valliappa Lakshmanan, Firat Tekiner. - First edition.. -
Sebastopol, CA: O'Reilly Media, Inc., 2023. - 1 online resource (359 pages) : illustrations
Online resource |
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| 16. |
Deza, Alfredo: MLOps for Applied Computer Vision : With Apple CreateML / Deza, Alfredo. - 1st edition. -
[Erscheinungsort nicht ermittelbar]: Pragmatic AI Solutions, 2021. - 1 online resource (1 video file, approximately 36 min.)
Online resource Film |
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| 17. |
Fregly, Chris: Jissen AWS dēta saiensu : endo tsū endo no MLOps paipurain jissō / Chris Fregly, Antje Barth cho ; Kurokawa Toshiaki yaku ; Motohashi Kazuki gijutsu kanshū = Data scie… . - Shohan.. -
Tōkyō-to Shinjuku-ku: Orairī Japan, 2021. - 1 online resource (570 pages), ISBN 978-4-87311-968-7実践AWSデータサイエンス : エンドツーエンドのMLOpsパイプライン実装 / Chris Fregly, Antje Barth著 ; 黒川利明訳 ; 本橋和貴技術監修 = Data science on AWS : implementing end-to-end, continuous AI and machine learning pipelines / Chris Fregly and Antje Barth.. - 初版: オライリー・ジャパン, 2021
Online resource |
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| 18. |
AI Superstream : MLOps. - [First edition].. -
[Place of publication not identified]: O'Reilly Media, Inc., [2022]. - 1 online resource (1 video file (2 hr., 51 min.)) : sound, color.
Online resource Film |
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| 19. |
Mukunthu, Deepak: Ji yu Azure de zi dong ji qi xue xi = : Practical automated machine learning on Azure / Deepak Mukunthu, Parashar Shah, Wee Hyong Tok zhu ; Lin Qi yi. - Di yi ban.. -
Beijing: Zhongguo dian li chu ban she = China Electric Power Press Ltd., 2020. - 1 online resource (210 pages) : illustrations, ISBN 978-7-5198-4855-2基于Azure的自动机器学习 = : Practical automated machine learning on Azure / Deepak Mukunthu, Parashar Shah, Wee Hyong Tok 著 ; 林琪 译.. - 第一版. -
北京: 中国电力出版社 = China Electric Power Press Ltd., 2020
Online resource |
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| 20. |
Gift, Noah: Practical MLOps : operationalizing machine learning models / Noah Gift and Alfredo Deza. - First edition. -
Sebastopol, CA: O'Reilly Media Inc, 2021. - xvii, 439 pages : illustrations, ISBN 978-1-09-810301-9
Book/no value |
for reference only
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