Summary

In this chapter, you learned how to perform automated machine learning using AutoML Tables. We started by setting up a Cloud AutoML Tables-based experiment and then demonstrated how the AutoML Tables model is trained and deployed. Using multiple data sources, we explored AutoML Tables with BigQuery public datasets, as well as both classification and regression. We hope that this chapter has made you familiar with working with GCP AutoML so that you can apply it to your automated machine learning experiments.

In the next chapter, we will explore an enterprise use case for automated machine learning.