The core of the Python data model architecture is the special methods (also known as 'magic methods'). These methods, which ...

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

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.

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 framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.

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

This paper presents a general model to assess the impact of data and process quality upon the outputs of multi-user information-decision systems. The data flow/data processing quality control model is ...

What is data modeling, and why does it break down? Fundamentally, data modeling involves arranging data in a structured way to improve accessibility and use for a range of applications and analyses.