Chapter 12: Building ML Solutions with AWS AI Services

You have come a long way and we are getting close to the finishing line. Up to this point, we have mainly focused on the skills and technologies required to build and deploy ML models using open source technologies and managed ML platforms. To solve business problems with machine learning, however, you don't always have to build, train, and deploy your ML models from scratch. An alternative option is to use fully managed AI services. AI services are fully managed APIs or applications with pre-trained models that perform specific ML tasks, such as object detection or sentiment analysis. Some AI services also allow you to train custom models with your data for a defined ML task, such as document ...

Get The Machine Learning Solutions Architect Handbook now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.