What is clean data?

Jim O'Shaughnessy emphasizes that clean data is crucial for the effectiveness of machine learning models. The term "clean data" refers to structured content that allows one to learn principles effectively. In the context of AI, clean data is comparable to high-quality "light, sweet" oil, as opposed to low-quality, unrefined data which could lead to suboptimal or erroneous outcomes 1.

Additionally, while discussing AI's role in scientific research, he highlights the importance of good information and structured data. This helps prevent inefficiencies and mistakes, reinforcing the significance of maintaining a repository of well-organized and vetted data 2.