Machine learning on Kubernetes a practical handbook for building and using a complete open source machine learning platform on Kubernetes

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-s...

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Bibliographic Details
Other Authors: Masood, Faisal, author (author), Brigoli, Ross, author
Format: eBook
Language:Inglés
Published: Birmingham, England ; Mumbai : Packt [2022]
Edition:1st ed
Subjects:
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009669523306719
Table of Contents:
  • Table of Contents Challenges in Machine Learning Understanding MLOps Exploring Kubernetes The Anatomy of a Machine Learning Platform Data Engineering Machine Learning Engineering Model Deployment and Automation Building a Complete ML Project Using the Platform Building Your Data Pipeline Building, Deploying and Monitoring Your Model Machine Learning on Kubernetes.