You're reading from Engineering MLOps

Product typeBook

Published inApr 2021

PublisherPackt

ISBN-139781800562882

Edition1st Edition

Tools

Azure Functions

Concepts

Machine Learning

Author (1)

Emmanuel Raj

Summary

In this chapter, we learned about the key principles of continual learning in ML solutions. We learned about Explainable Monitoring (the governance component) by implementing hands-on error handling and configuring actions to alert developers of ML systems using email notifications. Lastly, we looked at ways to enable model retraining and how to maintain the CI/CD pipeline. With this, you have been equipped with the critical skills to automate and govern MLOps for your use cases.

Congratulations on finishing this book! The world of MLOps is constantly evolving for the better. You are now equipped to help your business thrive using MLOps. I hope you enjoyed reading and learning by completing the hands-on MLOps implementations. Go out there and be the change you wish to see. All the best with your MLOps endeavors!

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Engineering MLOps

Published in: Apr 2021Publisher: PacktISBN-13: 9781800562882

Author (1)

Emmanuel Raj

Emmanuel Raj is a Finland-based Senior Machine Learning Engineer with 6+ years of industry experience. He is also a Machine Learning Engineer at TietoEvry and a Member of the European AI Alliance at the European Commission. He is passionate about democratizing AI and bringing research and academia to industry. He holds a Master of Engineering degree in Big Data Analytics from Arcada University of Applied Sciences. He has a keen interest in R&D in technologies such as Edge AI, Blockchain, NLP, MLOps and Robotics. He believes "the best way to learn is to teach", he is passionate about sharing and learning new technologies with others.
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