Data Science Lifecycle

Data Science Lifecycle and TensorFlow Extended

Data Science Lifecycle

Data Science Lifecycle and TensorFlow Extended

The Data Science Lifecycle provides a process of steps that you can use to structure your data science projects:

The presentation outlines how you can use TensorFlow Extended (TFX) as an end-to-end platform for deploying production machine learning pipelines. A TFX pipeline is a sequence of components that implement an ML pipeline which is specifically designed for scalable, high-performance machine learning tasks. Components are built using TFX libraries which can also be used individually.


Resources

TensorFlow Extended Installation Tutorials:

How to use Kubeflow pipelines

TensorFlow Extended resources to learn more about the data science lifecycle steps:

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Jan Kirenz
Professor

I’m a data scientist educator and consultant.