Engineering MLOps: Rapidly build, test, and manage production-ready machine learning life cycles at scale

by Emmanuel Raj

Get up and running with machine learning life cycle management and implement MLOps in your organization

Key Features:

Become well-versed with MLOps techniques to monitor the quality of machine learning models in productionExplore a monitoring framework for ML models in production and learn about end-to-end traceability for deployed modelsPerform CI/CD to automate new implementations in ML pipelines

Book...

• Format: Paperback
• Language: English
• ISBN: 1800562888
• ISBN13: 9781800562882
• Release Date: April 2021
• Publisher: Packt Publishing
• Length: 370 Pages
• Weight: 1.65 lbs.
• Dimensions: 0.8" x 7.5" x 9.3"