Machine Learning Engineering with Python

Section 2: ML Development and Deployment

This section focuses on the technical details of developing your ML solutions, including examples of building your own training systems, coding your own ML wrapper libraries, designing your cloud-based architecture, and finally, scaling up your solutions to large organizational datasets. This section will also give you the knowledge you need to feel confident in building robust solutions that use machine learning to solve real-world problems.

This section comprises the following chapters:

• Chapter 3, From Model to Model Factory
• Chapter 4, Packaging Up
• Chapter 5, Deployment Patterns and Tools
• Chapter 6, Scaling Up