Machine Learning

GPTKB entity

Statements (104)
Predicate Object
gptkbp:instanceOf gptkb:academic
gptkbp:application autonomous vehicles
natural language processing
robotics
speech recognition
diagnosis
financial forecasting
fraud detection
image recognition
recommendation systems
gptkbp:hasConcept gptkb:dictionary
gptkb:legend
gptkb:software
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
loss function
overfitting
recall
regularization
stochastic gradient descent
transfer learning
underfitting
model selection
outlier detection
scalability
accuracy
activation function
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
https://www.w3.org/2000/01/rdf-schema#label Machine Learning
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
gptkb:software
gptkb:fire
gptkb:Robust_Machine_Learning
gptkbp:bfsLayer 4