Jeremy Howard is a Distinguished Research Scientist at the University of San Francisco. He is is a founding researcher at fast.ai, a research institute dedicated to making deep learning more accessible, and is the founding chair of WAMRI, which provides researchers the opportunity to focus on utilizing artificial intelligence models to advance critical medical research across areas including oncology, cardiology and neurology.
I’m a data scientist at the University of San Francisco and teach courses online in machine learning for fast.ai. In late March, I decided to use public mask-wearing as a case study to show my students how to combine and analyze diverse types of data and evidence. Much to my surprise, I discovered that the […]
