Reflecting on a year of making machine learning useful

This post resonates (and mentions) with the Software 2.0 concept introduced by Andrej Karpathy, I guess key point is that data (slicing and dicing, and creating good tools to mange that process) can be more important than the modeling itself.

Also, a few points on interpretability, importance of reproducibility and a few thoughts on how ML tools should be built.