Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

Pattern recognition is a multidisciplinary field that focuses on the automated identification, categorisation, and interpretation of patterns in data. Drawing on methods from computer vision, signal ...

Data scientist Dr. Pranita Patil's curiosity and interest in technology ignited her pursuit of two master's degrees and a PhD in Data Science. This article delves into her research and explores how ...

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...

Researchers present a novel framework that uses image-mining techniques and machine learning algorithms to identify flaws in counterfeit coins. The researchers' framework uses fuzzy association rules ...

Artificial intelligence (AI) has made remarkable strides in recent years, particularly in its ability to reason. At the heart of this evolution are new technologies like neural networks and large ...

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...