Supervised learning is the machine learning task of learning a function that maps an input to an output based on example input-output pairs. It infers a function from labeled training data consisting of a set of training examples.
Supervised learning algorithms
The most widely used learning algorithms for supervised learning are:
- Support Vector Machines
- linear regression
- logistic regression
- naive Bayes
- linear discriminant analysis
- decision trees
- k-nearest neighbor algorithm
- Neural Networks (Multilayer perceptron)
Read more on Wikipedia.
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