Women in Machine Learning

It is quite challenging as well as necessary to develop tools and models for low resource settings/languages, where we lack large corpora or annotated data. Deep learning can go a long way in solving these problems.
It was a great learning opportunity to host women in machine learning (WiML) un-workshop session on “Deep Learning for Natural Language Processing in Low Resource Settings” with our Lecturer Marjana Prifti Skenduli, PhD Candidate in Computer Science.
#WiML #ICMl2020