As organizations worldwide adopt machine learning across virtually every industry, the demand for machine learning engineers is on the rise. Anyone with “machine learning” in their job title, or even ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...

Feature engineering involves systematically transforming raw data into meaningful and informative features (predictors). It is an indispensable process in machine learning and data science. This ...

The area of machine learning, which is quickly expanding, uses statistical methods and data analysis to teach computers how to learn and make predictions or judgements without being explicitly ...

Elizabeth Hutton is the lead machine learning engineer at the Cisco Webex Contact Center AI team, where she leads building in-house AI solutions from research and development to production. It’s a ...

The Department of Industrial Engineering and Management Sciences is a leader in the science of decision-making in complex environments through innovation in algorithms, computation, and mathematical ...

The UK automotive acoustic engineering services market is expanding, driven by demand for NVH control, stringent noise ...

Justin Chen received his PhD in Physics from Rice University before deciding to make the jump from academia to machine learning. He spent the last few years as a Machine Learning Engineer at Manifold, ...

Poly(ethylene terephthalate) (PET) is a popular plastic for making clear, semi-rigid containers such as water bottles and packaging inserts; it also accounts for 12% of solid waste globally.