Statements (101)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:academic
|
| gptkbp:application |
gptkb:diagnosis
autonomous vehicles natural language processing robotics speech recognition financial forecasting fraud detection image recognition recommendation systems |
| gptkbp:hasConcept |
gptkb:dictionary
gptkb:legend gptkb:software gptkb:loss_function gptkb:activation_function gptkb:explainable_AI gptkb:EP backpropagation ethics online learning optimization precision regression AUC F1 score ROC curve batch learning bias-variance tradeoff clustering confusion matrix cross-validation data augmentation data preprocessing dimensionality reduction ensemble methods feature engineering feature extraction feature selection hyperparameter tuning learning rate overfitting recall regularization stochastic gradient descent transfer learning underfitting model selection outlier detection scalability accuracy anomaly detection bagging batch size boosting cost function data imbalance data labeling ensemble learning fairness feature importance generalization model deployment model evaluation model interpretability predictor variable reproducibility stacking target variable test data test set training data training set unsupervised feature learning validation data validation set |
| gptkbp:hasMethod |
gptkb:reinforcement_learning
self-supervised learning supervised learning semi-supervised learning unsupervised learning |
| gptkbp:hasSubfield |
gptkb:artificial_intelligence
|
| gptkbp:relatedTo |
computer science
data science statistics |
| gptkbp:supportsAlgorithm |
gptkb:principal_component_analysis
gptkb:tree gptkb:Q-learning gptkb:convolutional_neural_network gptkb:AdaBoost deep learning support vector machine gradient boosting k-means clustering k-nearest neighbors linear regression logistic regression naive bayes random forest |
| gptkbp:bfsParent |
gptkb:School_of_Computer_Science
|
| gptkbp:bfsLayer |
4
|
| https://www.w3.org/2000/01/rdf-schema#label |
Machine Learning
|