Using Machine Learning Data to Achieve Sustainability, Performance and Governance Goals

In an environment defined by labor shortages, rising uptime expectations and pressure to improve overall equipment effectiveness (OEE), simple data collection is no longer enough.
Bloomberg L.P.

A Conversation with Bloomberg’s Stefanie Molin about her new book on Data Science, Python and Pandas

What first interested you in data analysis, Python and pandas? I started my career working in ad tech, where I had access to log-level data from the ads that were being served, and I learned R to ...
InfoWorld

Machine learning: The deplorable state of deployment

We’ve gotten pretty good at building machine learning models. From legacy platforms like SAS to modern MPP databases and Hadoop clusters, if you want to train up regression or classification models, ...

Unlocking subsurface geoenergy and storage potential using machine learning

FAYETTEVILLE, GA, UNITED STATES, March 20, 2026 /EINPresswire.com/ -- Using machine learning regression models, we ...
Chromatography Online

Real-Time Pork Breed and Boar Taint Classification Using REIMS

A recent study explored rapid evaporative ionization mass spectrometry (REIMS) as a high-throughput, real-time alternative. By analyzing metabolomic fingerprints from pig neck fat, REIMS was combined ...
Analytics Insight

Best Data Analysis Courses in 2026: What to Learn First and Where to Learn It

In-demand skills include data analysis. It has been predicted that in 2026 businesses will place a high value on analysts who ...
BMJ

Machine learning approaches to injury risk prediction in sport: a scoping review with evidence synthesis

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...