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Add A Guide to MLOps resource link #131

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1. [MLOps Guide: Theory and Implementation](https://mlops-guide.github.io/)
1. [Practitioners guide to MLOps: A framework for continuous delivery and automation of machine learning.](https://services.google.com/fh/files/misc/practitioners_guide_to_mlops_whitepaper.pdf)
1. [MLOps maturity assessment](https://github.com/marvelousmlops/mlops_maturity_assessment)
1. [A guide to MLOps - A comprehensive guide using best practices](https://mlops.swiss-ai-center.ch/)
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