logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Mlops With Red Hat Openshift A Cloudnative Approach To Machine Learning Operations Ross Brigoli

  • SKU: BELL-56896508
Mlops With Red Hat Openshift A Cloudnative Approach To Machine Learning Operations Ross Brigoli
$ 31.00 $ 45.00 (-31%)

4.1

60 reviews

Mlops With Red Hat Openshift A Cloudnative Approach To Machine Learning Operations Ross Brigoli instant download after payment.

Publisher: Packt Publishing
File Extension: PDF
File size: 12.92 MB
Pages: 238
Author: Ross Brigoli, Faisal Masood
ISBN: 9781805120230, 1805120239
Language: English
Year: 2024

Product desciption

Mlops With Red Hat Openshift A Cloudnative Approach To Machine Learning Operations Ross Brigoli by Ross Brigoli, Faisal Masood 9781805120230, 1805120239 instant download after payment.

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.

Related Products