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| <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]]
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| *[[class]]
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| *[[classification model]]
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| *[[classification threshold]]
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| *[[class-imbalanced dataset]]
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| *[[clipping]]
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| *[[confusion matrix]]
| |
| *[[continuous feature]]
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| *[[convergence]]
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| *[[DataFrame]]
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| *[[data set or dataset]]
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| *[[deep model]]
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| *[[dense feature]]
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| *[[depth]]
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| *[[discrete feature]]
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| *[[dynamic]]
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| *[[dynamic model]]
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| *[[early stopping]]
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| *[[embedding layer]]
| |
| *[[epoch]]
| |
| *[[example]]
| |
| *[[false negative (FN)]]
| |
| *[[false positive (FP)]]
| |
| *[[false positive rate (FPR)]]
| |
| *[[feature]]
| |
| *[[feature cross]]
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| *[[feature engineering]]
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| *[[feature set]]
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|
| |
|
| | | ==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]]
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| *[[linear model]]
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| *[[linear]]
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| *[[linear regression]]
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| *[[logistic regression]]
| |
| *[[Log Loss]]
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| *[[log-odds]]
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| *[[loss]]
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| *[[loss curve]]
| |
| *[[loss function]]
| |
| *[[machine learning]]
| |
| *[[majority class]]
| |
| *[[mini-batch]]
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| *[[minority class]]
| |
| *[[model]]
| |
| *[[multi-class classification]]
| |
| *[[negative class]]
| |
| *[[neural network]]
| |
| *[[neuron]]
| |
| *[[node (neural network)]]
| |
| *[[nonlinear]]
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| *[[nonstationarity]]
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| *[[normalization]]
| |
| *[[numerical data]]
| |
| *[[offline]]
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| *[[offline inference]]
| |
| *[[one-hot encoding]]
| |
| *[[one-vs.-all]]
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| *[[online]]
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| *[[online inference]]
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| *[[output layer]]
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| *[[overfitting]]
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| *[[pandas]]
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| *[[parameter]]
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| *[[positive class]]
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| *[[post-processing]]
| |
| *[[prediction]]
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| *[[proxy labels]]
| |
| *[[rater]]
| |
| *[[Rectified Linear Unit (ReLU)]]
| |
| *[[regression model]]
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| *[[regularization]]
| |
| *[[regularization rate]]
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| *[[ReLU]]
| |
| *[[ROC (receiver operating characteristic) Curve]]
| |
| *[[Root Mean Squared Error (RMSE)]]
| |
| *[[sigmoid function]]
| |
| *[[softmax]]
| |
| *[[sparse feature]]
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| *[[sparse representation]]
| |
| *[[sparse vector]]
| |
| *[[squared loss]]
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| *[[static]]
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| *[[static inference]]
| |
| *[[stationarity]]
| |
| *[[stochastic gradient descent (SGD)]]
| |
| *[[supervised machine learning]]
| |
| *[[synthetic feature]]
| |
| *[[test loss]]
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| *[[training]]
| |
| *[[training loss]]
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| *[[training-serving skew]]
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| *[[training set]]
| |
| *[[true negative (TN)]]
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| *[[true positive (TP)]]
| |
| *[[true positive rate (TPR)]]
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| *[[underfitting]]
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| *[[unlabeled example]]
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| *[[unsupervised machine learning]]
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| *[[validation]]
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| *[[validation loss]]
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| *[[validation set]]
| |
| *[[weight]]
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| *[[weighted sum]]
| |
| *[[Z-score normalization]]
| |