Part 3: Mastering ML in GCP

In this part, we learn how Google does ML in the Google Cloud Platform. First, we discover Google’s BigQuery ML for structured data, and then we look at Google’s ML frameworks, TensorFlow and Keras. We examine Google’s end-to-end ML suite, Vertex AI, and the ML services it provides. We then look at the Google pre-trained model APIs for ML development: GCP ML APIs. We end this part with a summary of the ML implementation best practices in Google Cloud.

This part comprises the following chapters:

• Chapter 6, Learning BQML, TensorFlow, and Keras
• Chapter 7, Exploring Google Cloud Vertex AI
• Chapter 8, Discovering Google Cloud ML API 
• Chapter 9, Using Google Cloud ML Best Practices