Machine Learning
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Supervised Learning
Quick Definition
Learning from labeled training data with input-output pairs
Full Definition
A ML approach where models learn from labeled training data consisting of input-output pairs.
Examples
email spam detection, house price prediction, image classification
Related Terms
classification
regression
neural-network
More Machine Learning Terms
Self-Supervised Learning
Generating supervisory signals from unlabeled data for training
Model Selection
Choosing the best ML model from candidates
AdaBoost
Combining weak classifiers with adaptive sample weighting
Data Augmentation
Artificially increasing training data through modified copies
Linear Regression
Modeling variable relationships by fitting a linear equation
Time Series Analysis
Analyzing time-ordered data for patterns and forecasting