Optimizing Models in Spark and SageMaker

The models that are trained on AWS can be further optimized by modifying the training directives or hyperparameters. In this chapter, we will discuss various techniques that our readers can use to improve the performance of their algorithms.

In this chapter, we will cover the following topics:

• The importance of model optimization
• Automatic hyperparameter tuning
• Hyperparameter tuning in Apache Spark and SageMaker