A Framework for Building and Evaluating Data Products

In this episode of the Data Show, I spoke with Grace Huang, data science lead at Pinterest. With its combination of a large social graph, enthusiastic users, and multimedia data, I’ve long regarded Pinterest as a fascinating lab for data science. Huang described the challenge of building a sustainable content ecosystem and shared lessons from the front lines of machine learning product launches. We also discussed recommenders, the emergence of deep learning as a technique used within Pinterest, and the role of data science within the company.