This data model (i.e. "schema design,") is useful for developing applications around any restricted resource system, not just e-commerce systems.

Discover what black box models are, their applications in finance and investing, and examples of how they drive ...

MIT roboticists debate the future of robotics August 28, 2025 by Mai Tao By Rachel Gordon , MIT CSAIL <strong ...

It is imperative for health systems to form data sharing partnerships that allow for the analysis of de-identified clinical data, while effectively and comprehensively protecting patient information.

Missing data is a major issue in many applied problems, especially in the biomedical sciences. We review four common approaches for inference in generalized linear models (GLMs) with missing covariate ...

The advent of large language models in text, search and image processing has undeniably revolutionized the landscape of unstructured data.

One of the most important steps in desiging a database is establishing the data model. Part one of a two-part article describes how to create a logical model.

Traditional scaling approaches to building machine learning models will fail as we run out of data for them. Several techniques may help.