Masood / Brigoli Machine Learning on Kubernetes

A practical handbook for building and using a complete open source machine learning platform on Kubernetes
1. Auflage 2022
ISBN: 978-1-80323-165-5
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 384 Seiten

No detailed description available for "Machine Learning on Kubernetes".

Autoren/Hrsg.

Masood, Faisal

Brigoli, Ross

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Informatik
• Mathematik | Informatik EDV | Informatik Technische Informatik

Inhaltsverzeichnis

Table of Contents - Challenges in Machine Learning
- Understanding MLOps
- Exploring Kubernetes

- The Anatomy of a Machine Learning Platform
- Data Engineering
- Machine Learning Engineering
- Model Deployment and Automation
- Building a Complete ML Project Using the Platform
- Building Your Data Pipeline
- Building, Deploying and Monitoring Your Model
- Machine Learning on Kubernetes

Über Autor(innen)

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.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.