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

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.

If data types can be similarly abstracted, then complex ones may be able to take hold. If engineers implementing inference must manually decide which data types to employ for which layers or portions ...

Sparse data can impact the effectiveness of machine learning models. As students and experts alike experiment with diverse datasets, sparse data poses a challenge. The Leeds Master’s in Business ...

Excel's Data Model feature allows you to build relationships between data sets for easier reporting. Here's how to use it to make data analysis easier.

At the other end of the continuum, a logical data model will have every piece of detail fleshing out the entities, all attributes, data types, optionality, definitions, and only stop at things that ...

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.

Microsoft's coming Dynamics 365 ERP/CRM service has something called the 'Common Data Model' at its core. Here's more on what CDM is and why it matters.