Summary

ML is sometimes described as the ability of systems to learn and improve continuously. While, in a sense, it is true that models can be constantly updated and learned, we have not discussed that information here. Time and space in the book did not allow us to cover all the options, but we have provided some starting points to get you moving forward in a meaningful direction. One approach is to continually update your model and deploy it to your environment to ensure that as conditions change (think seasons), a model can be updated to accommodate these new conditions. As you become more comfortable with ML and using Amazon SageMaker, you can explore other opportunities to use ML successfully and continually improve it.

We have given you the basics and enough information to follow through the examples successfully, but not without a bit of work on your part. ML is a skill that takes time and effort to perform successfully, but it’s not impossible. As you can see from...