Before analyzing customer data, we need to describe the customers. Descriptive features for customers usually revolve around three categories: revenues, demographics and behavior. While revenues ...

This article serves as a guide to data visualization, analytics, and machine learning platforms. Here I will discuss the features, use cases, user personas, and differentiating capabilities of ...

GeekWire’s startup coverage documents the Pacific Northwest entrepreneurial scene. Sign up for our weekly startup newsletter, and check out the GeekWire funding tracker and venture capital ...

artificial emotion intelligence (AEI), information visualization in machine learning and big data; and human-computer interaction (HCI) in software engineering. Emotions are fundamental to human ...

This ebook, based on the latest ZDNet / TechRepublic special feature, examines how advances in AI, visualization ... noted, data integration is a prerequisite for analytics, machine learning ...

Simulate organoid responses to external stimuli Model electrical pulses, chemical signals, and environmental changes Implement pattern recognition and decision-making tasks Real-time visualization of ...

Machine learning allows a computer to teach itself how to solve problems by analyzing large sets of data. Human programmers don't teach machine learning systems how to solve problems, nor do they ...