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Machine Learning Using Red Hat OpenShift Container Platform

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Machine learning with Kubeflow
Machine learning with Kubeflow ML workflow

ML workflow

ML workflow

  • A typical ML workflow includes the following steps: data acquisition, data analysis, data preparation, data validation, model building, model training, model validation, training at scale, model inference, and monitoring.

    The following figure shows a sample workflow:

    Figure 2.              Machine learning workflow