Glossary
Machine Learning Glossary
A - Z
Glossary A - Z
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Autoregressive Integrated Moving Average (ARIMA) A statistical model used to forecast future values of time series.Autoregressive Integrated Moving Average (ARIMA)
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Classification Loss Function Types List of common loss functionsClassification Loss Function Types
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Collaborative vs Content Filtering Collaborative versus ContentbasedCollaborative vs Content Filtering
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Common Machine Learning Models A list of common Machine Learning AlgorithmsCommon Machine Learning Models
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Differential Privacy A mathematical framework for ensuring the privacy of individuals in datasetsDifferential Privacy
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Dropout Regularization with DropoutDropout
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Evaluation Metric How to evaluate performance of ML modelsEvaluation Metric
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F1 Score Measuring a model's accuracy on a datasetF1 Score
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Inference The process of using a trained model to make predictions or generate new data based on previously learned patterns and informationInference
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Linear Regression Classic regression problem involving a single independent variable and a dependent variable.Linear Regression
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LLM Parameter Prompt Parameter for common Large Language ModelsLLM Parameter
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PII Transformation Options Types of PII De-Identification Techniques in MLPII Transformation Options
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Precision-Recall Curve vs Receiver-Operation-Curve Pprecision Recall Curve (PRC) and Receiver Operating Characteristic Curve (ROC) are metrics commonly used to evaluate performance of classification modelsPrecision-Recall Curve vs Receiver-Operation-Curve
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Random Cut Forest (RCF) Unsupervised machine learning algorithm used for anomaly detectionRandom Cut Forest (RCF)
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Softmax Activation Function A non-linear function that is commonly used in the output layer of neural networks for multi-class classification problemsSoftmax Activation Function
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Super- and Unsupervised ML Algorithms A list of common supervised and unsupervised ML algortiSuper- and Unsupervised ML Algorithms
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Z-Score Normalization Transforming Data to a Mean of 0 and a Standard Deviation of 1Z-Score Normalization