<ul><li>Continuous Integration (CI) is an essential part of the software development process. It allows developers to receive immediate feedback on their code changes, improving code quality and reducing integration issues.</li><li>CI is closely integrated with deployment processes, allowing code changes to be automatically deployed to staging or production environments after passing all automated tests.</li><li>Popular CI tools like GitHub Actions provide templates and workflows to automate the build, test, and deployment processes.</li><li>Implementing a CI pipeline using GitHub Actions in machine learning development enables early defect detection, streamlined workflows, faster time-to-market, and codebase integrity.</li></ul>

Inside an End-to-End Machine Learning Pipeline: Part 8 — Continuous Integration (CI) Pipeline With…

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