MLBytes Workshop: Satanjeev Banerjee, Software Engineer Research, Twitter
Machine learning impacts everything at Twitter, from showing the most relevant content to users, to promoting healthier conversations, highlighting trends, and delivering catered advertisements. In this talk I will present one of the largest applications of ML at Twitter: ranking the main feed of Tweets by the relevance of the Tweets to the viewer. I will present the dimensions of the ML problem - the goals, the metrics to optimize for, the features we use, and the network architecture we have developed. The talk will focus on the practical application of ML, and lessons learned delivering ML-based products to millions of users every day.
Bio: Satanjeev 'Bano' Banerjee is a machine learning engineer at Twitter working on Tweet relevance ranking. Previously he worked as a data scientist on Twitter's Advanced Analytics team, and as a backend engineer within the consumer engineering team. He holds a PhD from CMU; his dissertation was on active learning in the context of meeting understanding and summarization. Bano's interests outside of work include volunteering his data analysis skills at local non-profits, and training to run a marathon.