Part 1:The Importance of MLOps in a Real-World ML Deployment
In this part, you will get an overview of the life cycle of a typical real-world machine learning (ML) project. You will also learn about common challenges encountered during the development of ML applications and some key limitations of an ML framework. Finally, you will learn about the machine learning operations (MLOps) practice and its importance in ML deployments.
This part has the following chapters:
- Chapter 1, Machine Learning Project Life Cycle and Challenges
- Chapter 2, What Is MLOps, and Why Is It So Important for Every ML Team?
