Proper release and monitoring of machine learning systems in production.


ML in Production - Deployment Series
A multi-part blog series on deploying machine learning models in an automated, reproducible, and auditable manner.
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Getting Machine Learning to Production
Machine learning is hard and there are a lot, a lot of moving pieces.
production machine-learning tutorial article


Full Stack Deep Learning
Full Stack Deep Learning helps you bridge the gap from training machine learning models to deploying AI systems in the real world.
production full-stack deep-learning course
You Trained a Machine Learning Model, Now What?
Three often overlooked parts of this process occur after the model is actually built: model evaluation, deployment, and monitoring.
production deployment monitoring video
How to Plan and Execute Your ML and DL Projects
This tutorial presents ways to structure ML and DL projects in a systematic manner.
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Battle-Tested Techniques for Scoping Machine Learning Projects
One of the challenges of managing an ML project is project scoping. Even small changes in data or architecture can create huge differences in model ...
project-management production systems-design code
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