MLOps (Machine Learning Operations) – A Complete Hands-On Guide with Case Study

Learn about MLOps with a case study and guided projects. This will also cover DevOps, Software Engineering, System Engineering in the right proportions to ensure your understanding is complete.

You will learn about MLOps with a case study and guided projects. This will also cover DevOps, Software Engineering, System Engineering in the right proportions to ensure your understanding is complete.

Introduction

As part of this series of blogs, I want to help you understand MLOps. MLOps stands for Machine Learning Ops. It is basically a combination of Machine Learning, Software Development, and Operations. It is a vast topic. I want to first establish the value of MLOps and then discuss the various concepts to learn by way of guided projects in a very hands-on manner. If you are looking for a theoretical foundation on MLOps, please follow this documentation by Google.


Case Study

Objective

When I was working with an organization, we wanted to build and show the recommendation. The main idea was that we need to show something interesting to the users in a small ad space that people would want to use. Since we had the anonymized historical behavior of the users, we settled down to show recommendations of apps that they would also like based on their usage of various apps at the time when the ads were being displayed.

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