|
Pre-built models : Standard services like text analysis, sentiment analysis, and natural language processing can be accessed readily. |
|
Data processing and transformation : Preparatory services to clean, transform, and sanitize the data to be used by the ML frameworks. |
|
Model training : Train, fine-tune, and evaluate your ML models using these environments and frameworks. |
|
AutoML : Simplified, standard capability for building ML models, without having a lot of ML expertise. |
|
Deployment : ML models can be deployed as web services or APIs, and can be trained and re-trained. |
|
Scalability : On-demand scaling and de-scaling to optimize the pricing. |