Some thoughts on machine learning with small data

I feel techniques for making machine learning work with small data are not talked about enough. This makes sense because many ML applications are only possible by collecting a huge amount of data. And running Kaggle competitions on small datasets would basically be the same as running a “guess the random number” competition. For evaluating…

Paper Review: “MetNet: A Neural Weather Model for Precipitation Forecasting”

Is it possible to replace numerical weather prediction with deep learning? Certainly not yet. But first work is being done to investigate this question. In this post I want to discuss a paper called “MetNet: A Neural Weather Model for Precipitation Forecasting” that Google Research published back in March 2020 and in which they try…