Continuous Machine Learning (CML)
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What is Continuous Machine Learning (CML)?
Continuous Machine Learning (CML) is a tool designed to bring continuous integration and continuous delivery (CI/CD) principles to machine learning projects. It allows data scientists and machine learning engineers to automate the process of training, evaluating, and deploying machine learning models. CML integrates with existing CI/CD systems to provide feedback on model performance and data quality with each code change.
Free resources to learn Continuous Machine Learning (CML)
- Official docsCML
- Official docsGet Started with CML
- ArticleContinuous Machine Learning
More in stage 4: CI/CD
Continuous Machine Learning (CML): common questions
Can I learn Continuous Machine Learning (CML) in Hindi?
This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Continuous Machine Learning (CML) in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.
Is this Continuous Machine Learning (CML) tutorial for beginners?
It is lesson 24 of 62 in the free MLOps roadmap, in stage 4, CI/CD. If you are new to MLOps, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.