Github has assembled a wealth of resources for machine learning activities, including a list of the top public domain datasets.

Unifying machine learning datasets within a single data format makes it easier for organizations to transition to data-centric AI and step into a new era of innovation.

AEquity aims to improve training for healthcare machine-learning algorithms by assessing the accuracy and fairness of the data they're fed.

Datasets in AI and machine learning contain many flaws. Some might be fixable, according to experts -- given enough time and resources.