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 about the ML solution development process, how to identify a suitable ML solution to a problem, and how to categorize operations to implement suitable MLOps. We got a glimpse into a generic implementation roadmap and saw some tips for procuring essentials such as tools, data, and infrastructure to implement your ML application. Lastly, we went through the business problem to be solved in the next chapter by implementing an MLOps workflow (discussed in Chapter 1, Fundamentals of MLOps Workflow) in which we'll get some hands-on experience in MLOps.

In the next chapter, we will go from theory to practical implementation. The chapter gets hands-on when we start with setting up MLOps tools on Azure and start coding to clean the data to address the business problem and get plenty of hands-on experience.

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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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