In this section, you will understand how to build and train machine learning models with Amazon SageMaker. This part covers AutoML, built-in algorithms, built-in frameworks, and helps you design your own code. Using notebooks based on the SageMaker SDK,it will explain how to read training data, how to set up training jobs, how to define training parameters, and how to train on fully managed infrastructure.

This section comprises the following chapters:

Chapter 3, AutoML with Amazon SageMaker AutoPilot

Chapter 4, Training Machine Learning Models

Chapter 5, Training Computer Vision Models

Chapter 6, Training Natural Language Processing Models

Chapter 7, Extending Machine Learning Services Using Built-In Frameworks

Chapter 8, Using Your Algorithms and Code

Section 2: Building and Training Models

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