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

The go-to for data scientists seeking huge datasets. Thousands of datasets span themes from AI to finance to health, and they ...

Overview: Free datasets are essential for practice, research, and AI model development.Platforms like Kaggle, UCI, and Google ...

OpenAI has announced the winners of a its 'OpenAI to Z Challenge' that hopes to help archaeologists cut through the rain forest not with machetes, but with machine learning. Buried deep within ...

Limited datasets can prove to be a bottleneck for CADe tasks, and building progressively larger and well annotated datasets are equally, if not more, important than designing better algorithms.

If the datasets used to train machine-learning models contain biased data, it is likely the system could exhibit that same bias when it makes decisions in practice.

Measuring a firm’s machine learning model against other known models in the industry, or even against different models from the same organisation, becomes all but impossible. The idea, then, is to ...

The complexity and size of software systems has increased to the extent that traditional manual development and maintenance ...