There are a few different types of predictive modeling. Find out what makes each unique and how you can use them in your data projects.

Data modeling is the procedure of crafting a visual representation of an entire information system or portions of it in order to convey connections between data points and structures. The objective is ...

Data modeling best practices give structure and direction to an organization's data. Read more about data modeling now.

A data model is a visual representation of data elements and the relations between them.

Data modeling is the process of defining datapoints and struc­tures at a detailed or abstract level to communicate information about the data shape, content, and relationships to target audiences.

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

A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after it has already been used for training.

Meta open-sources multisensory AI model that combines six types of data The new ImageBind model combines text, audio, visual, movement, thermal, and depth data. It’s only a research project but ...