VSM Senior Technical Editor Dr. James McCaffrey, of Microsoft Research, explains why inverting a matrix -- one of the more common tasks in data science and machine learning -- is difficult and ...

Kernel methods represent a cornerstone in modern machine learning, enabling algorithms to efficiently derive non-linear patterns by implicitly mapping data into high‐dimensional feature spaces.

Find out how this structured machine learning roadmap called I-Con could lead to breakthroughs in AI.

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior performance compared to conventional non-machine learning approaches ...

UTSA MATRIX Consortium establishes center to combat health disparities, powered by AI and machine learning FEBRUARY 13, 2024 — A one-year, $500,000 grant will help UTSA researchers leverage artificial ...

Nucleus Research Releases 2024 Data Science and Machine Learning (DSML) Platform Technology Value Matrix Leaders in the DSML market include Alteryx, Amazon, Databricks, Dataiku, Microsoft, and SAS.