This topic describes the relevant topics of Data Science Workshop (DSW) use cases.
Case | Description |
This topic describes how to use responsible-ai-toolbox to perform fairness analysis on the model in DSW. In this topic, the fairness of a model that predicts whether the annual income exceeds 50K is evaluated in terms of gender and race. | |
This topic describes how to use the responsible-ai-toolbox to perform error analysis on a model in DSW. In this topic, a model that predicts whether the annual income exceeds 50K is evaluated. | |
This topic describes how to use EasyVision in DSW to detect objects. | |
This topic uses text classification as an example to describe how to use EasyTransfer to train and evaluate models, use models to make predictions, export model files, and deploy models in DSW. | |
This topic describes how to use EasyASR for speech recognition in DSW. | |
This topic describes how to use EasyASR for speech classification in DSW. |