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Podcast: Software Engineering Daily
Episode: Kubeflow: TensorFlow on Kubernetes with David Aronchick (Repeat)
Description: Originally published January 25, 2019When TensorFlow came out of Google, the machine learning community converged around it. TensorFlow is a framework for building machine learning models, but the lifecycle of a machine learning model has a scope that is bigger than just creating a model. Machine learning developers also need to have a testing and deployment process for continuous delivery of models.The continuous delivery process for machine learning models is like the continuous delivery process for microservices, but can be more complicated. A developer testing a model on their local machine is working with a...