By Alex Spangher (Data Engineer, New York Times Digital)
Machine Learning is a discipline characterized by systematic approaches and common threads to seemingly diverse problems. In this talk I'll talk about several approaches taken during our work on the next New York Times Recommendation Engine, specifically focusing on spatial reasoning, dimensionality reduction, and testing strategies. Topics covered will include implicit regression, Bayesian modeling and neural networks. The talk will focus on the commonalities between different approaches taken.