A machine-learning algorithm demonstrated the capability to process data that exceeds a computer's available memory by identifying a massive data set's key features and dividing them into manageable ...

Intelligent organizations prioritize investments in machine learning and real-time data to improve decision making, accelerate revenue generation efforts, reduce operational expenses and protect ...

With the aggressive scaling of semiconductor devices, the increasing complexity of device structure coupled with tighter metrology error budget has driven up Optical ...

Sparse data can impact the effectiveness of machine learning models. As students and experts alike experiment with diverse datasets, sparse data poses a challenge. The Leeds Master’s in Business ...

Learn what overfitting is, how it impacts data models, and effective strategies to prevent it, such as cross-validation and simplification.

Machine learning is a rapidly growing field with endless potential applications. In the next few years, we will see machine learning transform many industries, including manufacturing, retail and ...

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...

August 29, 2024 — A machine learning algorithm performs well in predicting the risk of persistent opioid use after hand surgery, reports a study in the August issue of Plastic and Reconstructive ...

Apache Spark brings high-speed, in-memory analytics to Hadoop clusters, crunching large-scale data sets in minutes instead of hours Apache Spark got its start in 2009 at UC Berkeley’s AMPLab as a way ...

Researchers have developed a novel approach to detect ALS and predict survival by measuring genetic activity in blood cells, a study found.