I found this to be a well-written book about how to leverage Amazon's artificial intelligence APIs using command-line tools and snippets of code for your larger applications that leverage artificial intelligence as a service.
The code samples are straightforward and easy to understand and use for junior to senior software engineers. The diagrams and architecture diagrams make it easy to understand complicated interfaces and how they interact with one another and connect using Amazon's AWS machine learning and artificial intelligence web services.
The authors make everything easy to understand for complicated artificial intelligence web APIs by describing and using the Manning style of notes and subheadings and the general writing format that Manning outlines makes it very easy to follow the book and easy to understand. It makes it very easy to understand complicated artificial intelligence topics.
For me, the most valuable part of the book was that not only do the authors describe how to leverage AI services on AWS, but they also describe how to implement modern service web applications using a JavaScript framework called web pack. This is one of the most valuable parts of the book. They describe not only how to leverage the AI APIs on AWS but also describes how to build small utilities using a JavaScript web application framework.
This is a common theme throughout the book on building AI NLP, image, and audio processing services on AWS; however, the examples presented in the book are not only limited to AWS’s AI APIs.
Main points:
- Covers machine learning image recognition services
- Covers voice recognition and text recognition services using artificial intelligence
- Uses JavaScript code snippets for examples and well-structured diagrams
The best code example was how to build an image recognition application.
Difficulty level: Expert
AI as a Service, Serverless machine learning with AWS
Peter Elger, Eóin Shanaghy
Manning Publications, September 2020
ISBN 9781617296154 328 pages
