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@@ -413,7 +413,6 @@ Where to discover new tools and discuss about existing ones.
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* [A Tour of End-to-End Machine Learning Platforms](https://databaseline.tech/a-tour-of-end-to-end-ml-platforms/) (Databaseline)
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* [Continuous Delivery for Machine Learning](https://martinfowler.com/articles/cd4ml.html) (Martin Fowler)
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* [Delivering on the Vision of MLOps: A maturity-based approach](https://azure.microsoft.com/mediahandler/files/resourcefiles/gigaom-Delivering-on-the-Vision-of-MLOps/Delivering%20on%20the%20Vision%20of%20MLOps.pdf) (GigaOm)
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* [Machine Learning Operations (MLOps): Overview, Definition, and Architecture](https://arxiv.org/abs/2205.02302) (arXiv)
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* [MLOps Roadmap: A Complete MLOps Career Guide](https://www.scaler.com/blog/mlops-roadmap/) (Scaler Blogs)
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* [MLOps: Continuous delivery and automation pipelines in machine learning](https://cloud.google.com/solutions/machine-learning/mlops-continuous-delivery-and-automation-pipelines-in-machine-learning) (Google)

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