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Machine Learning on Kubernetes Cover

Machine Learning on Kubernetes

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

Paid access
|Jun 2024
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Table of Contents

  1. Challenges in Machine Learning
  2. Understanding MLOps
  3. Exploring Kubernetes
  4. The Anatomy of a Machine Learning Platform
  5. Data Engineering
  6. Machine Learning Engineering
  7. Model Deployment and Automation
  8. Building a Complete ML Project Using the Platform
  9. Building Your Data Pipeline
  10. Building, Deploying and Monitoring Your Model
  11. Machine Learning on Kubernetes
PDF ISBN: 978-1-80323-165-5
Publisher: Packt Publishing Limited
Copyright owner: © 2022 Packt Publishing Limited
Publication date: 2024
Language: English
Pages: 384
BISAC subjects:
COM059000,
COM014000,
COM018000
Thema subjects:
UY,
TJF,
UNC,
GPH

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