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 have learned how to identify a suitable ML solution to a business problem and categorize operations to implement suitable MLOps. We set up our tools, resources, and development environment. 10 principles of source code management were discussed, followed by data quality characteristics. Congrats! So far, you have implemented a critical building block of the MLOps workflow – data processing and registering processed data to the workspace. Lastly, we had a glimpse into the essentials of the ML pipeline.

In the next chapter, you will do the most exciting part of MLOps: building the ML pipeline. Let's press on!

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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.
Read more about Emmanuel Raj

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