Machine learning and deep ... Specific algorithms have hyperparameters that control the shape of their search. For example, a Random Forest Classifier has hyperparameters for minimum samples ...

So Lynch suggested something straight from her own research playbook: decision trees and random forests. Decision trees, Lynch explained, are machine learning algorithms that create chains of ...

Random Forests can be applied to machine learning — for example, with autonomous cars, what decision process should the algorithm apply if it is about to crash in order to minimise damage, or risk of ...