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MLOps with Red Hat OpenShift. A cloud-native approach to machine learning operations

(ebook) (audiobook) (audiobook) Książka w języku angielskim
MLOps with Red Hat OpenShift. A cloud-native approach to machine learning operations Ross Brigoli, Faisal Masood - okladka książki

MLOps with Red Hat OpenShift. A cloud-native approach to machine learning operations Ross Brigoli, Faisal Masood - okladka książki

MLOps with Red Hat OpenShift. A cloud-native approach to machine learning operations Ross Brigoli, Faisal Masood - audiobook MP3

MLOps with Red Hat OpenShift. A cloud-native approach to machine learning operations Ross Brigoli, Faisal Masood - audiobook CD

Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
238
Dostępne formaty:
     PDF
     ePub
MLOps with OpenShift offers practical insights for implementing MLOps workflows on the dynamic OpenShift platform. As organizations worldwide seek to harness the power of machine learning operations, this book lays the foundation for your MLOps success. Starting with an exploration of key MLOps concepts, including data preparation, model training, and deployment, you’ll prepare to unleash OpenShift capabilities, kicking off with a primer on containers, pods, operators, and more.
With the groundwork in place, you’ll be guided to MLOps workflows, uncovering the applications of popular machine learning frameworks for training and testing models on the platform.
As you advance through the chapters, you’ll focus on the open-source data science and machine learning platform, Red Hat OpenShift Data Science, and its partner components, such as Pachyderm and Intel OpenVino, to understand their role in building and managing data pipelines, as well as deploying and monitoring machine learning models.
Armed with this comprehensive knowledge, you’ll be able to implement MLOps workflows on the OpenShift platform proficiently.

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O autorach książki

Ross Brigoli is an associate principal architect at Red Hat. He has been designing and building software in various industries for over 18 years. He has designed and built data platforms and workflow automation platforms. Before Red Hat, Ross led a data engineering team as an architect in the financial services industry. He currently designs and builds microservices architectures and machine learning solutions on OpenShift.
Faisal Masood is a principal architect at Red Hat. He has been helping teams to design and build data science and application platforms using OpenShift, Red Hat’s enterprise Kubernetes offering. Faisal has over 20 years of experience in building software and has been building microservices since the pre-Kubernetes era.

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