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 ...

Ocean color remote sensing (OCRS) provides crucial insights into marine ecosystems, detecting phytoplankton blooms, measuring ...

Machine learning (ML ... ML models are based on supervised learning, with each data point having an associated label. Commonly used ML models include random forest models, support vector machines ...

Deep learning is a form of machine learning that models ... Another kind of deep learning algorithm—not a deep neural network—is the Random Forest, or Random Decision Forest.

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 ...