Section 2: Model Development and Experimentation
This section covers the process of end-to-end model development with MLflow, including experimentation management through MLflow, targeting the algorithm development phase in machine learning. You will learn how to use MLflow to iteratively develop your machine learning model and manage it with MLflow.
The following chapters are covered in this section:
- Chapter 3, Your Data Science Workbench
- Chapter 4, Experiment Management in MLflow
- Chapter 5, Managing Models with MLflow
