Chapter 8: Solving NLP, Image Classification, and Time-Series Forecasting Problems with Built-in Algorithms
In the previous chapter, we had a closer look at several capabilities of SageMaker, such as SageMaker Feature Store, SageMaker Clarify, and SageMaker Model Monitor. These capabilities help machine learning practitioners handle relevant requirements when working on production-level machine learning experiments and deployments. In this chapter, we will take a look at using the SageMaker built-in algorithms to solve natural language processing (NLP), image classification, and time-series forecasting problems.
Figure 8.1 – Working with ...
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