CI/CD in MLOps
Continuous Integration and Continuous Deployment (CI/CD) are essential practices in MLOps, automating the building, testing, and releasing of software. This automation not only alleviates the burden on data scientists but also minimizes the risk of human error, such as configuration mistakes. Robust testing tools and collaboration with QA ensure that software meets intended functionality and audience expectations.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
SDS 599: MLOps: Machine Learning Operations — with @Miki_ML
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