I will present an overview into a few of the many data-science related projects and techniques being undertaken at Zeiss.
I will then concentrate on two data-science applications; one using a nice application of Bayes’ theorem together with ML, applied to the problem
of Pupil-Distance estimation in an ophthalmology context, the other, predicting the memory consumption of a computing cluster.An insight into Science and Data Science topics at Carl Zeiss
By Ben Hoyle (Research and Data Scientist at Carl Zeiss)
From 14:00 to 15:00
Remote meeting via Zoom ( find location here )