data science

Supervised learning has many commercial applications; however, such learning lacks the capability to generate new insights and knowledge. In contrast, unsupervised learning discovers the inherent structures in unlabeled data, thereby helping generate new insights and actionable knowledge from large volumes of data.

Schneider Electric University has been designed to help data center professionals expand their skills by offering free guidance on the latest technology, sustainability, and energy efficiency initiatives.

This paper evaluates learnings from the past 30 years of methods that aim to quantify the uncertainty in the subsurface using multiple realizations, describing major challenges and outlining potential ways to overcome them.

Data science plays an increasing role in the fight against climate change. As we use data science to develop innovative solutions to climate change, we should be careful not to replicate, or worsen, existing inequities—or create new ones.

This column is intended to provide a starting point and a roadmap for professionals who want to learn data science and are struggling with the question, “Where do I start?”

Analytics is a key untapped transformational lever that will drive a meaningful impact in the short-term and a core competitive advantage for companies in the long term.

Merging tried-and-true physics-based models with data science is bolstering the Houston independent’s reservoir-engineering work on its deepwater and shale assets.

Data science and decision science are related but still separate fields, so, at some points, it might be hard to compare them directly. This article attempts to show the commonalities, differences, and specific features of data science and decision science.

Meet the group advancing digital technology adoption within one of the largest oil and gas producers in the US. Its aim is to cross-pollinate reservoir engineers with data scientists to create a 21st century workforce.

A look at the universities, startups, and multinational corporations in Silicon Valley, California, which are applying data science and predictive modeling for oilfield management.