Glossary A - Z

• Autoregressive Integrated Moving Average (ARIMA) A statistical model used to forecast future values of time series.
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• Classification Loss Function Types List of common loss functions
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• Collaborative vs Content Filtering Collaborative versus Contentbased
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• Common Machine Learning Models A list of common Machine Learning Algorithms
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• Differential Privacy A mathematical framework for ensuring the privacy of individuals in datasets
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• Dropout Regularization with Dropout
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• Evaluation Metric How to evaluate performance of ML models
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• F1 Score Measuring a model's accuracy on a dataset
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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 information
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• Linear Regression Classic regression problem involving a single independent variable and a dependent variable.
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• LLM Parameter Prompt Parameter for common Large Language Models
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• PII Transformation Options Types of PII De-Identification Techniques in ML
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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 models
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• Random Cut Forest (RCF) Unsupervised machine learning algorithm used for anomaly detection
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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 problems
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• Super- and Unsupervised ML Algorithms A list of common supervised and unsupervised ML algorti
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• Z-Score Normalization Transforming Data to a Mean of 0 and a Standard Deviation of 1
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