Designing Data Products
Coming up with a good model is very important for any machine learning system. But to build a good data product, there are a bunch of other things that goes along with the model. The focus of this talk will be to discuss those things and share our learnings and recommendations based on our experience.
System components of data products include data collection, data validation, data consumption, and data retraining. We will give some guidelines and pitfalls around these systems.
Developer at ThoughtWorks