Chapter 7: Extending Machine Learning Services Using Built-In Frameworks
In the last three chapters, you learned how to use built-in algorithms to train and deploy models without having to write a line of machine learning code. However, these algorithms don't cover the full spectrum of machine learning problems. In a lot of cases, you'll need to write your own code. Thankfully, several open source frameworks make this reasonably easy.
In this chapter, you will learn how to train and deploy models with the most popular open source frameworks for machine learning and deep learning. We will cover the following topics:
- Discovering the built-in frameworks in Amazon SageMaker
- Running your framework code on Amazon SageMaker
- Using the built-in frameworks ...
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