Please be a part of us to discover the great thing about knowledge science with Jun Yu from Snap Inc.! Jun’s subject will likely be Constructing a Machine Studying Software in Apply.
Jun Yu is an skilled technical chief with experience in machine studying, promoting and suggestion system. He has a ardour for making use of machine studying and synthetic intelligence strategies and constructing progressive merchandise to unravel difficult real-world issues.
Jun is at the moment working as Software program Engineer Supervisor at Snap Inc., makers of Snapchat, Spectacles, and Bitmoji. He was beforehand Senior Utilized Scientist and Tech Lead at Amazon, main a workforce of scientists and engineers to forecast gross sales velocity for varied promotions, rank suggestions on Vendor Central homepage for promoting companions and estimate the long run affect of vendor actions.
Earlier than becoming a member of Amazon, Jun was a analysis tech lead at eBay the place his workforce constructed machine studying options for the paid web advertising on Google and Fb. Their ML mannequin optimizes the bidding methods, gives personalised suggestions to drive top quality site visitors to eBay, and maximizes the return-over-investment.
Jun additionally has a ardour in educating and serving to extra folks into the sector of machine studying and knowledge science. At the moment he teaches a number of programs in the Foster College of Enterprise at College of Washington, together with Superior ML, Deep Studying and Huge Information, and Pure Language Processing.
Jun acquired his Ph.D in Laptop Science from Oregon State College working with Dr. Weng-Eager Wong. Throughout the Ph.D. examine, his analysis centered on utilizing probabilistic graphical fashions and crowdsourcing to foretell species distribution utilizing citizen science knowledge and quantify the talent degree of citizen scientists within the eBird venture. Jun has revealed greater than 15 papers in top-tier machine studying and citizen science conferences and journals.