Both of these practices help to remove unnecessary variables in the training set to help the model perform better. Most importantly, it helps to pick a machine learning model that will work better ...

A study using multiple agronomic models to examine two long-term agricultural research stations in North America shows that ...

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...

Solargis' Marcel Suri reports on the mixing of datasets in solar project planning to artificially enhance financial ...