Machine Learning With Go

Best practices for gathering and organizing data with Go

As you can see in the preceding section, Go itself provides us with an opportunity to maintain high levels of integrity in our data gathering, parsing, and organization. We want to ensure that we leverage Go's unique properties whenever we are preparing our data for machine learning workflows.

Generally, Go data scientists/analysts should follow the following best practices when gathering and organizing data. These best practices are meant to help you maintain integrity in your applications, and been able you to reproduce any analysis:

1. Check for and enforce expected types: This might seem obvious, but it is too often overlooked when using dynamically typed languages. Although it is ...