Summary

In this chapter, we learned what AI notebooks are and why they can be useful in the development of a machine learning model, and we also understood the pricing model. We discovered the relationship between Google AI Platform Notebooks and the open source environment JupyterLab.

First, we provisioned our first notebook instance using the Google Cloud Console web interface. Then, we used this new instance to develop a simple linear regression model, alternating code blocks and descriptive cells in the notebook file in the meantime.

Finally, we executed all the steps in the notebook and visualized the results directly in its web interface.

In the next chapter, we'll learn how to invoke TensorFlow models directly from BigQuery using BigQuery ML.