Chapter 2: Characterizing Your Machine Learning Problem

In this chapter, you will get a fundamental understanding of the various types of Machine Learning (ML) solutions that can be built for production, and will learn to categorize the relevant operations in line with the business and technological needs of your organization. You will learn how to curate an implementation roadmap for operationalizing ML solutions, followed by procuring the necessary tools and infrastructure for any given problem. By the end of this chapter, you will have a solid understanding of how to architect robust and scalable ML solutions and procure the required data and tools for implementing these solutions.

ML Operations (MLOps) aims to bridge academia and industry using state-of-the-art engineering principles, and we will explore different elements from both industry and academia to get a holistic understanding and awareness of the possibilities. Before beginning to craft your MLOps solution, it is important...