Geospatial Machine Learning with SageMaker
Amazon Web Services (AWS) provides a wide range of services and applications that can be used for machine learning (ML). ML can generally be thought of as using computers to make predictions based on probabilities and correlations between data. This chapter will outline some common ways geospatial data is used to feed ML models to make predictions.
This chapter will teach you how to recognize opportunities to use ML for geospatial workloads and understand some of the options available to implement. In this chapter, we will talk about using Python with SageMaker for extract, transform, and load (ETL), analytics, and ML, as well as SageMaker’s native geospatial capabilities. We will cover some popular Python libraries for these tasks as well as an overview of a few of SageMaker’s native ETL and ML capabilities.
We will cover the following topics in this chapter:
- AWS ML background
- Common libraries and algorithms...
