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
Polynomial Regression
Extending linear models with polynomial features for nonlinear data
Gaussian Mixture Model
Probabilistic model using multiple Gaussian distributions
Support Vector Machine
Finding optimal hyperplane to separate classes with max margin
Bayesian Optimization
Optimizing expensive functions using a probabilistic model
Autoencoder
Neural network learning compressed data representations
Hyperparameter Tuning
Finding optimal configuration values before training