Scientist Yi Nian is sharing his machine-learning ... critical graph patterns and answers the important question of how to provide a global interpretation for the graph learning procedure.

Learn More The skill of feature engineering — crafting data features optimized for machine learning — is as old as data science itself. But it’s a skill I’ve noticed is becoming more and ...

The startup has developed tools that make it possible to automate the so-called feature engineering phase of ... form the neural network can interpret correctly. A software team building an ...

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

A research team combined two machine learning techniques, layer clustering and decision tree methods, to produce data-driven methods for spectral interpretation and prediction that can analyze any ...