The growing trend of AI means that it’s business-critical to understand how AI-enabled systems arrive at specific outputs.

Changing assumptions and ever-changing data mean the work doesn’t end after deploying machine learning models to production. These best practices keep complex models reliable.

Understanding The Role And Relevance Of Human-Annotated Data The world of machine learning revolves around data. The "garbage in, garbage out" (GIGO) principle underscores the importance of the ...