usace.army.mil

Army establishes new AI, machine learning career path for officers

WASHINGTON – The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), formally designating the 49B AI/ML Officer as an ...
inkbotdesign.com

Psychographics vs Demographics for Customer Segmentation

Most businesses waste thousands targeting "who" their customer is, while ignoring "why" they buy. This forensic guide dismantles the Psychographics vs Demographics debate, offering a roadmap to ...
C&EN

Machine-Learning-Based Automated Schlemm’s Canal Volumetric Segmentation for Optical Coherence Tomography

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Numerous challenges, including the variable anatomy of SC, ...
InfoWorld

AI and machine learning outside of Python

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
IEEE

Customer Segmentation Using Machine Learning

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 ...
Frontiers

Multi-interactive feature embedding learning for medical image segmentation

1 School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China 2 School of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, ...
IEEE

Imperative role of customer segmentation technique for customer retention using machine learning techniques

Abstract: Customer segmentation is crucial for businesses to employ as a tool to guide them toward more successful marketing and product development. Customers can be divided into essentially infinite ...
AOL

How machine learning enhances customer segmentation

One of the key challenges that marketing teams must solve is allocating their resources in a way that minimizes “cost per acquisition” (CPA) and increases return on investment. This is possible ...