Talk: "Machine Learning at Scaling Facebook, Challenges and Lessons Learned" - Junfeng Pan
In this tech talk, Junfeng Pan will talk about machine learning models, data parameters, the supporting infrastructure, storage and various applications in friend recommendation, news feed ranking and ads optimization. Junfeng is a founding member and leader for Online Machine Learning in Facebook. He is going to share practical challenges and lessons learned in developing real time prediction systems at large scale.
Talk: "A Trillion documents for a Billion search engines” - Hetu K
With over a trillion posts, photos and videos, the Facebook Search Index is one of the world’s largest repositories of information. The goal of Content Search at Facebook is to draw on this collective wisdom and serve the needs of the 1Billion+ users on Facebook. In this tech talk, Hetu Kamisetty will describe some of the challenges in Machine Learning and Natural Language Processing that we have addressed towards this goal.