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 ...

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 ...

Self-driving cars are a good example ... Elastic Net, Random Forest, AdaBoost, and XGBoost. You’ll notice that there is some overlap between machine learning algorithms for regression and ...