Understanding the ML Model Development Life Cycle
In this chapter, we will explore the different steps that exist in a typical AI/ML project. This information is an important foundation for an AI/ML solutions architect role because you will need to advise companies on how to implement these steps efficiently. It is also a foundation for the rest of the contents of this book, as in later chapters, you will create your own machine learning projects, and it’s important that you understand the steps in the process. We will also explore the concept of MLOps in this book and how the ML model development life cycle serves as the basis for the MLOps paradigm.
This chapter covers the following topics:
- An overview of the ML model development life cycle
- Common challenges encountered in the ML model development life cycle
- Best practices for overcoming common challenges
