Machine learning models can process customer data and discover recurring patterns across various features.

Machine learning attitudinal segmentation is not limited to existing secondary data constructs like behavioral segmentation or a small universe of non-randomly-selected respondents like survey-based ...

Hence, using machine learning for big data analytics happens to be a logical step for companies to maximize the potential of big data adoption.

The Big Data Analytics, Artificial Intelligence and Machine Learning research cluster tackles important problems and develops real-life applications, harnessing technologies to extract insights and ...

With the modern volumes of data, organizations can gain new and unexpected insight from seemingly unrelated data points. Unsupervised learning is the tool that helps find those new relationships ...

AttendSeg is a new neural network architecture from DarwinAI designed to perform image segmentation on low-power/capacity computing devices.

Researchers from Peking University Third Hospital have developed a novel collaborative framework that integrates various semi-supervised learning techniques to enhance MRI segmentation using ...

In many cases, machine learning algorithms can help marketing analysts find customer segments that would be very difficult to spot through intuition and manual examination of data.