Xiong Zhou

Most data that is captured has geospatial information; however, only a small fraction of it is used for ML because it can be challenging to access and acquire high-quality data sources, prepare massive datasets for training, or acquire specialized tools to visualize data.

A majority of all data captured has geospatial information; however, only a small fraction of it is used for ML because it can be challenging to access and acquire high-quality data sources, prepare massive datasets for training, or acquire specialized tools to visualize data. In this session, learn how with Amazon SageMaker geospatial capabilities, you can access readily available geospatial...