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Abstract: Data stream learning is an emerging machine learning paradigm designed for environments where data arrive continuously and must be processed in real time. Unlike traditional batch learning, ...

Objectives To explore the experiences of clinicians providing pastoral and mental health services to racially and ethnically minoritised students (REMS) at UK universities, aiming to understand the ...

That was a question Ashwin Sundaramurthy (MLDS '25) never thought he would consider when he moved to Chicago from India to join Northwestern Engineering's Master of Science in Machine Learning and ...

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Data is critically important to almost any business – it’s the lifeblood that makes an organisation function. But managing, leveraging and realising the commercial advantage of data is also hard. If ...

Have you ever spent hours wrestling with messy spreadsheets, only to end up questioning your sanity over rogue spaces or mismatched text entries? If so, you’re not alone. Data cleaning is one of the ...

The latest trends in software development from the Computer Weekly Application Developer Network. Confluent, Inc. used its annual data practitioner convention this month to detail Confluent ...

The directors of a tiny Northeast Oregon nonprofit called Inland Development Corp. voted in 2017 to cut a $145,000 check to another nonprofit, Morrow Development Corp., where state Rep. Greg Smith ...

Dynamic predictive modeling using electronic health record data has gained significant attention in recent years. The reliability and trustworthiness of such models depend heavily on the quality of ...

In an era where cloud, AI, security, and data are driving digital transformation, Microsoft remains one of the most pervasive and trusted technology ecosystems. From Azure to Microsoft 365, Power ...