Section 1: Framework for Building Machine Learning Models
This part will equip readers with the foundation of MLOps and workflows to characterize their ML problems to provide a clear roadmap for building robust and scalable ML pipelines. This will be done in a learn-by-doing approach via practical implementation using proposed methods and tools (Azure Machine Learning services or MLflow).
This section comprises the following chapters: