Brigoli / Masood MLOps with Red Hat OpenShift

A cloud-native approach to machine learning operations
1. Auflage 2024
ISBN: 978-1-80512-585-3
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 238 Seiten

No detailed description available for "MLOps with Red Hat OpenShift".

Autoren/Hrsg.

Brigoli, Ross

Masood, Faisal

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie

Inhaltsverzeichnis

Table of Contents - Introduction to MLOps and OpenShift
- Provisioning an MLOps platform in the Cloud
- Building Machine Learning Models
- Embedding ML Models into the Applications
- Deploying ML Models as a Service
- Operating ML workloads
- Building a face detector using the Red Hat ML Platform

Über Autor(innen)

Brigoli Ross:
Ross Brigoli is a consulting architect at Red Hat, where he focuses on designing and delivering solutions around microservices architecture, DevOps, and MLOps with Red Hat OpenShift for various industries. He has two decades of experience in software development and architecture.Masood Faisal:
Faisal Masood is a cloud transformation architect at AWS. Faisal's focus is to assist customers in refining and executing strategic business goals. Faisal main interests are evolutionary architectures, software development, ML lifecycle, CD and IaC. Faisal has over two decades of experience in software architecture and development.