Background: Depression affects more than 350 million people globally. Traditional diagnostic methods have limitations. Analyzing textual data from social media provides new insights into predicting ...

Abstract: Customer segmentation is a method that uses un- supervised machine learning to segment customers by common characteristics, behaviors, and wants. This technique enables companies to market ...

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...

Forbes contributors publish independent expert analyses and insights. Randy Bean is a noted Senior Advisor, Author, Speaker, Founder, & CEO. How does a venerable American brand known for creating the ...

Customer segmentation and personalization have moved from the margins to the center of modern marketing strategy. As businesses rely more heavily on digital channels to engage audiences, the ability ...

Abstract: We live in a world where huge amount of data is collected daily. Analyzing such data is an important need. For example, businesses often struggle to recognize their potential customers; to ...

Sticking to an exercise routine is a challenge many people face. But a research team is using machine learning to uncover what keeps individuals committed to their workouts. Sticking to an exercise ...

Real-world data is often costly, messy, and limited by privacy rules. Synthetic data offers a solution—and it’s already widely used: SDV (Synthetic Data Vault) is an open-source Python library that ...