Amazon SageMaker Best Practices

Chapter 2: Data Science Environments

In this chapter, we will get an overview of how to create managed data science environments to scale and create repeatable environments for your model-building activities. In this chapter, you will get a brief overview of the machine learning (ML) use case, including the dataset that will be used throughout the chapters in this book.

The topics that will be covered in this chapter are as follows:

• Machine learning use case and dataset
• Creating data science environments

Technical requirements

You will need an AWS account to run the examples included in this chapter. Full code examples included in the book are available on GitHub at https://github.com/PacktPublishing/Amazon-SageMaker-Best-Practices/tree/main/Chapter02 ...