The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could dramatically slash the cost and energy required to develop new lithium-ion ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

In today’s fast-changing data landscape, having a strong data system and advanced analytical tools is key to getting valuable insights and staying ahead of the competition. The data lakehouse ...

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines. By Daniel Fusch Neel Somani, a ...

Purdue’s innovative Master of Science in Data Science (MSDS) is an accessible, skills-focused master’s designed to meet the needs of professionals who have some background in data science and want to ...

Offered: Winter (TTh 12:30-1:50 p.m.) and Spring (TTh 9:30-10:50 a.m.) Data Engineering Studio teaches how to build a sustainable data science lifecycle. Students will analyze data in multiple ...

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...