Step into an infinite world of stories
Non-fiction
Engineering MLps presents comprehensive insights into MLOps coupled with real-world examples in Azure to help you to write programs, train robust and scalable ML models, and build ML pipelines to train and deploy models securely in production.
The book begins by familiarizing you with the MLOps workflow so you can start writing programs to train ML models. Then you’ll then move on to explore options for serializing and packaging ML models post-training to deploy them to facilitate machine learning inference, model interoperability, and end-to-end model traceability. You’ll learn how to build ML pipelines, continuous integration and continuous delivery (CI/CD) pipelines, and monitor pipelines to systematically build, deploy, monitor, and govern ML solutions for businesses and industries. Finally, you’ll apply the knowledge you’ve gained to build real-world projects.
By the end of this ML book, you'll have a 360-degree view of MLOps and be ready to implement MLOps in your organization.
© 2021 Packt Publishing (Ebook): 9781800566323
Release date
Ebook: April 19, 2021
Listen and read without limits
Enjoy stories offline
Kids Mode (child-safe environment)
Cancel anytime
Get 50% off for life on 800,000+ stories
1 account
Unlimited Access
Offline Mode
Kids Mode
Cancel anytime
English
International