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Supervised Learning

Supervised Learning

A type of machine learning in which data is fully labelled and algorithms learn to approximate a mapping function well enough that they can accurately predict output variables given new input data.

Supervised learning is a type of machine learning in which data is fully labeled and algorithms learn to approximate a mapping function well enough that they can accurately predict output variables given new input data. This section contains supervised learning techniques. For example, Support Vector Machine (SVM), is a type of algorithm that is a discriminative classifier formally defined by a separating hyperplane used for regression and classification tasks.

Supervised learning is predicated on the use of well-labeled data. There are a number of companies in the data labeling software industry.

Data labeling software companies

Timeline

Further Resources

Title
Author
Link
Type
Date

NVIDIA Blog: Supervised Vs. Unsupervised Learning

Isha Salian

Web

Supervised and Unsupervised Machine Learning Algorithms

Jason Brownlee

Web

References

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