Summary

In this chapter, you learned more about the broad range of AWS ML and AI services and had the opportunity to get hands-on with Amazon Comprehend, an AI service for extracting insights from written text.

We discussed how ML and AI services can apply to a broad range of use cases, both specialized (such as detecting cancer early) and general (business forecasting or personalization).

We examined different AWS services related to ML and AI. We looked at how different Amazon SageMaker capabilities can be used to prepare data for ML, build models, train and fine-tune models, and deploy and manage models. SageMaker makes building custom ML models much more accessible to developers without existing expertise in ML.

We then looked at a range of AWS AI services that provide prebuilt and trained models for common use cases. We looked at services for transcribing text from audio files (Amazon Transcribe), for extracting text from forms and handwritten documents (Amazon Textract...