From the course: Machine Learning with SageMaker by Pearson

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Learning objectives

Learning objectives - Amazon SageMaker Tutorial

From the course: Machine Learning with SageMaker by Pearson

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Learning objectives

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Welcome to lesson four, where we delve into the key processes and techniques for developing machine learning models in AWS SageMaker. This lesson begins with an overview of SageMaker's built-in algorithms and jumpstart models, providing a foundation for selecting the right tools for your projects. We'll then explore how to set up and run training jobs, optimize hyperparameters using SageMaker's automatic tuning, and tackle the common challenges of overfitting and underfitting.

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