This repository provides XML code examples that use SAS Event Stream Processing to process real-time streaming data. Project code is written to run in SAS Event Stream Processing Studio. Use these ...

In the world of Material Informatics (MI), conventional methods involve tremendous laboratory work or extensive simulations that may not yield the expected results. Our objectives are to contribute to ...

If you’re learning machine learning with Python, chances are you’ll come across Scikit-learn. Often described as “Machine Learning in Python,” Scikit-learn is one of the most widely used open-source ...

Rather than manually pruning thousands of records or writing brittle one-off scripts, we embarked on a journey to build a Python-powered deduplication pipeline. We wanted a solution that could clean ...

The proliferation of technology throughout modern business has created novel opportunities for financial statement fraud. But technology tools can also be leveraged to help detect and prevent fraud.

In the fast-paced retail industry, understanding customer behavior is key. To achieve this, we’ve used customer segmentation via clustering, a machine learning technique that groups similar customers ...

Compared to other clustering techniques, DBSCAN does not require you to explicitly specify how many data clusters to use, explains Dr. James McCaffrey of Microsoft Research in this full-code, ...

Local cell densities and positioning within cellular monolayers and stratified epithelia have important implications for cell interactions and the functionality of various biological processes. To ...