In the final section, we aim to create a product that helps real people. Often, this means creating a stable piece of software that operates in production under a heavy load. Any data science product is also a software product. Teams can use existing best practices from software development to circumvent numerous caveats. This part of the book offers an overview of the must-have practices and tools required to build and deploy data science solutions.
This section contains the following chapters:
- Chapter 11, Implementing ModelOps
- Chapter 12, Building Your Technology Stack
- Chapter 13, Conclusion
