Predictive analytics is the use of statistics and modeling techniques to determine future performance based on current and historical data.

Today’s data scientists and machine learning engineers now have a wide range of choices for how they build models to address the various patterns of AI for their particular needs.

Machine learning models are essentially trained with algorithms; they are generated when algorithms are applied to a specific given data set.

Ursa Health has introduced new capabilities to Ursa Studio, its ground-breaking healthcare analytics development platform, to help organizations meet ...

An approach through Agile development and model quality simulation. The concept-development and acquisition communities have long treated artificial intelligence and machine learning (AI/ML) as ...

One Model, a company developing a data science-driven platform for HR, has raised $41 million in a funding round.

Summary Data censoring is a significant issue in the realm of analytics and model building, particularly in the context of credit applications.

Predictive analytics integrates data from various sources (such as enterprise resource planning, point-of-sale, and customer relationship management systems) to predict future outcomes based on ...