Machine learning terms: Difference between revisions

From AI Wiki
No edit summary
No edit summary
 
(24 intermediate revisions by the same user not shown)
Line 1: Line 1:
<noinclude>{{see also|Terms|Machine learning}
<noinclude>{{see also|Terms|Machine learning}}
</noinclude><includeonly>=</includeonly>==Fundamentals==<includeonly>=</includeonly>
</noinclude>'''[[Machine learning terms/Fundamentals|Fundamentals]]'''<br>
*[[accuracy]]
'''[[Machine learning terms/Natural Language Processing|Natural Language Processing]] - [[Machine learning terms/Language Evaluation|Language Evaluation]]'''<br>
*[[activation function]]
'''[[Machine learning terms/Fairness|Fairness]]'''<br>
*[[artificial intelligence]]
'''[[Machine learning terms/Decision Forests|Decision Forests]]'''<br>
*[[AUC (Area under the ROC curve)]]
'''[[Machine learning terms/Reinforcement Learning|Reinforcement Learning]]'''<br>
*[[backpropagation]]
'''[[Machine learning terms/Computer Vision|Computer Vision]]''' - '''[[Machine learning terms/Image Models|Image Models]]'''<br>
*[[batch]]
'''[[Machine learning terms/Sequence Models|Sequence Models]]'''<br>
*[[batch size]]
'''[[Machine learning terms/Clustering|Clustering]]'''<br>
*[[bias (ethics/fairness)]]
'''[[Machine learning terms/Recommendation Systems|Recommendation Systems]]'''<br>
*[[bias (math) or bias term]]
'''[[Machine learning terms/TensorFlow|TensorFlow]]'''<br>
*[[binary classification]]
'''[[Machine learning terms/Google Cloud|Google Cloud]]'''
*[[bucketing]]
*[[categorical data]]
*[[class]]
*[[classification model]]
*[[classification threshold]]
*[[class-imbalanced dataset]]
*[[clipping]]
*[[confusion matrix]]
*[[continuous feature]]
*[[convergence]]
*[[DataFrame]]
*[[data set or dataset]]
*[[deep model]]
*[[dense feature]]
*[[depth]]
*[[discrete feature]]
*[[dynamic]]
*[[dynamic model]]
*[[early stopping]]
*[[embedding layer]]
*[[epoch]]
*[[example]]
*[[false negative (FN)]]
*[[false positive (FP)]]
*[[false positive rate (FPR)]]
*[[feature]]
*[[feature cross]]
*[[feature engineering]]
*[[feature set]]


 
==All ML Terms==
 
{{see also|Machine learning terms/All}}
*[[feature vector]]
{{:Machine learning terms/All}}
*[[feedback loop]]
*[[generalization]]
*[[generalization curve]]
*[[gradient descent]]
*[[ground truth]]
*[[hidden layer]]
*[[hyperparameter]]
*[[independently and identically distributed (i.i.d)]]
*[[inference]]
*[[input layer]]
*[[interpretability]]
*[[iteration]]
*[[L0 regularization]]
*[[L1 loss]]
*[[L1 regularization]]
*[[L2 loss]]
*[[L2 regularization]]
*[[label]]
*[[labeled example]]
*[[lambda]]
*[[layer]]
*[[learning rate]]
*[[linear model]]
*[[linear]]
*[[linear regression]]
*[[logistic regression]]
*[[Log Loss]]
*[[log-odds]]
*[[loss]]
*[[loss curve]]
*[[loss function]]
*[[machine learning]]
*[[majority class]]
*[[mini-batch]]
*[[minority class]]
*[[model]]
*[[multi-class classification]]
*[[negative class]]
*[[neural network]]
*[[neuron]]
*[[node (neural network)]]
*[[nonlinear]]
*[[nonstationarity]]
*[[normalization]]
*[[numerical data]]
*[[offline]]
*[[offline inference]]
*[[one-hot encoding]]
*[[one-vs.-all]]
*[[online]]
*[[online inference]]
*[[output layer]]
*[[overfitting]]
*[[pandas]]
*[[parameter]]
*[[positive class]]
*[[post-processing]]
*[[prediction]]
*[[proxy labels]]
*[[rater]]
*[[Rectified Linear Unit (ReLU)]]
*[[regression model]]
*[[regularization]]
*[[regularization rate]]
*[[ReLU]]
*[[ROC (receiver operating characteristic) Curve]]
*[[Root Mean Squared Error (RMSE)]]
*[[sigmoid function]]
*[[softmax]]
*[[sparse feature]]
*[[sparse representation]]
*[[sparse vector]]
*[[squared loss]]
*[[static]]
*[[static inference]]
*[[stationarity]]
*[[stochastic gradient descent (SGD)]]
*[[supervised machine learning]]
*[[synthetic feature]]
*[[test loss]]
*[[training]]
*[[training loss]]
*[[training-serving skew]]
*[[training set]]
*[[true negative (TN)]]
*[[true positive (TP)]]
*[[true positive rate (TPR)]]
*[[underfitting]]
*[[unlabeled example]]
*[[unsupervised machine learning]]
*[[validation]]
*[[validation loss]]
*[[validation set]]
*[[weight]]
*[[weighted sum]]
*[[Z-score normalization]]

Latest revision as of 17:51, 26 February 2023

See also: Terms and Machine learning

Fundamentals
Natural Language Processing - Language Evaluation
Fairness
Decision Forests
Reinforcement Learning
Computer Vision - Image Models
Sequence Models
Clustering
Recommendation Systems
TensorFlow
Google Cloud

All ML Terms

See also: Machine learning terms/All