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MLOps with Red Hat OpenShift

You're reading from  MLOps with Red Hat OpenShift

Product type Book
Published in Jan 2024
Publisher Packt
ISBN-13 9781805120230
Pages 238 pages
Edition 1st Edition
Languages
Authors (2):
Ross Brigoli Ross Brigoli
Profile icon Ross Brigoli
Faisal Masood Faisal Masood
Profile icon Faisal Masood
View More author details

Table of Contents (13) Chapters

Preface Part 1: Introduction
Chapter 1: Introduction to MLOps and OpenShift Part 2: Provisioning and Configuration
Chapter 2: Provisioning an MLOps Platform in the Cloud Chapter 3: Building Machine Learning Models with OpenShift Part 3: Operating ML Workloads
Chapter 4: Managing a Model Training Workflow Chapter 5: Deploying ML Models as a Service Chapter 6: Operating ML Workloads Chapter 7: Building a Face Detector Using the Red Hat ML Platform Index Other Books You May Enjoy

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

A/B testing 156

Advanced Cluster Security (ACS) 6

Amazon Web Services (AWS) 17, 204

Application Programming Interfaces (APIs) 187

Azure Red Hat OpenShift (ARO) 6

B

base image 8

basic data science pipeline

building 114-119

building blocks, RHODS

data ingestion 15

data management 15

data storage 15

GPU 15

model development and tuning 14

model serving and observability 16

C

canary deployment 154

canary model deployment 154-156

canary release 154

Center for Internet Security (CIS) 10

cloud

advantages 17

cloud infrastructure costs

optimizing 172-175

cluster 7

cluster autoscaling 174

Common Vulnerabilities and Exposures (CVE) 157

container 7

container image 7

Container Runtime Interface (CRI) 7

cost, for...

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Published in: Jan 2024 Publisher: Packt ISBN-13: 9781805120230
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