Two of our own EIT Digital Alumni community members will present how it's like to be working at Google and how they are using data science knowledge (machine learning and artificial intelligence) within their recent projects at Google Zürich office.
Presentations:
"Applied ML at Gmail & Youtube" by Jan van de Kerkhof
(Software Engineer at Google Zürich)
“In particular, I will cover Smart Reply as a feature and discuss some of the NLP techniques used to build the feature. I will cover content from the initial paper using LSTMs and from the optimization which uses dual-encoder networks, as outlined in our research blog. If time permits, I'll also give examples of how Youtube uses neural networks within their video recommendation algorithms, covering content from the YouTube paper."
"Machine learning fairness" by Marcin Paszkiewicz
Marcin Paszkiewicz (Software Engineer at Google Zürich)
"I will introduce the concept of machine learning fairness, talk a bit about its importance and I will give tl;dr for some of the papers listed here: https://developers.google.com/machine-learning/fairness-overview."
Q&A / Open discussion:
Moderator: Davor Ljubenkov
Meetup Recording:
Find the full schedule and topics of the Tuesday Afterwork event series HERE.
EIT Digital Alumni and EIT Digital are supported by the EIT, a body of the European Union