From the course: Machine Learning with SageMaker by Pearson
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Module introduction - Amazon SageMaker Tutorial
From the course: Machine Learning with SageMaker by Pearson
Module introduction
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Welcome to Module 2, Machine Learning Model Development. In this module, we will focus on the heart of machine learning, building and refining models. You'll learn how to choose the right algorithms, optimize hyperparameters, and improve model performance using AWS tools like SageMaker. We will also dive into key evaluation metrics and strategies to ensure your models meet business objectives. you
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Module introduction30s
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Learning objectives32s
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Overview of SageMaker built-in algorithms and JumpStart models8m 13s
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SageMaker algorithms demonstration25m 3s
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Setting up and running SageMaker training jobs6m 14s
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SageMaker training demonstration21m 48s
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Hyperparameter tuning with SageMaker automatic model tuning7m 42s
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Hyperparameter tuning demonstration21m 48s
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Preventing overfitting and underfitting8m 3s
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Model over/underfitting demonstration13m 39s
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