Appendix E. An end-to-end example of ML application
This Chapter covers
- Why do ML in the cloud?
- When to do ML in the cloud?
- How to build an ML pipeline on Anthos using Kubeflow?
- Understand TensorFlow Extended
- Learn the features of Vertex AI
In the preceding sections, you were introduced to Anthos and how to migrate your existing applications to the Anthos platform. This chapter will demonstrate how to run end-to-end machine learning workloads on multiple cloud providers and on-prem. A fully working and production-ready project will be discussed in deep detail. We will be using Kubeflow on the Anthos platform.
Specifically, the chapter will introduce you to the need for automation in the ML pipeline, the concept of MLOps, TensorFlow ...
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