To get the most out of this book
You should have an AWS account and working knowledge of AWS and Amazon SageMaker. You should also be familiar with basic machine learning concepts. The code samples are written in Python and normally executed in a Jupyter notebook. You will not need Python or other software installed on your computer.
To set up your data science environment, you should also have familiarity with the concepts of Infrastructure-as-Code and Configuration-as-Code. It's helpful if you are also familiar with AWS CloudFormation but it is not required.
If you are using the digital version of this book, we advise you to type the code yourself or access the code from the book's GitHub repository (a link is available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.
