How can you integrate an ML framework or library into your existing codebase?
Machine learning (ML) is a powerful and versatile tool for solving complex problems and creating innovative applications. However, integrating an ML framework or library into your existing codebase can be challenging, especially if you are not familiar with the ML concepts and workflows. In this article, we will explore some of the steps and best practices that can help you successfully incorporate an ML component into your project, regardless of the programming language or platform you use.