Summary
In this chapter, we have introduced the Google Cloud ML API services: the Cloud Sight API with Vision and Video APIs, the Cloud Language API with the Translation and NPL APIs, and the Cloud conversation API with Dialogflow, Speech-to-Text and Text-to-Speech. These Google pre-trained API services provide the best functions and interfaces for ML application development, and we have shown some sample business use cases leveraging Google ML APIs.
To master the Google ML API services, labs are an important part of the learning process, and we have provided some ML API hands-on demonstrations in Appendix 5, Practicing with the Google Cloud ML API. Please review and understand all the practice steps.
In the next chapter, we will discuss the best practices in implementing ML in Google Cloud.
