Government agencies are awash in documents. Many of these documents are paper-based, but even for the electronic documents a human is still often needed to process and understand those documents to ...

Learning a subject well means moving beyond the recitation of facts to a deeper knowledge that can be applied to new problems. Designing computers that can transcend rote calculations to more nuanced ...

Princeton University has established the Center for Statistics and Machine Learning. John Storey, a professor of molecular biology and the Lewis-Sigler Institute for Integrative Genomics, has been ...

Impactful research meets innovative educational programs in Statistics and Data Sciences, the college’s newest and fastest-growing department. Using novel statistics and machine learning methods to ...

What are the differences between econometrics, statistics, and machine learning? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better ...

The Bachelor of Science in Statistics and Data Science is the college’s newest major. The curriculum is designed to equip students to execute all stages of a data analysis, from data acquisition and ...

Title: Computation-information gap in high-dimensional clustering. Abstract: We investigate the existence of a fundamental computation-information gap for the problem of clustering a mixture of ...

Artificial intelligence isn’t just about T-800s and Skynet or best known as the boogeyman that haunted Stephen Hawking’s dreams. AI, and everything included under that broad umbrella, is already at ...