Choosing an Azure service for ML
Azure provides more than 200 services, of which more than 30 services are targeted for building solutions for AI and ML. This vast number of services often makes it difficult for someone new to Azure to choose the right service for a specific task. Choosing the right service for your ML task is the most important decision you will have to make when starting with ML in Azure. In this section, we will provide clear guidance about how to choose the right ML and compute services in Azure.
The right service with the right layer of abstraction could save you months if not years of time to market your ML-based product or feature. It could help you avoid tedious time-consuming tasks such as improving model performance through transfer learning, re-training, managing, and re-deploying ML models, or monitoring, scaling, and operating inference services and endpoints.
Choosing the wrong service could mean that you start producing results quickly, but it...