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On this page
  • Supervised learning
  • Unsupervised learning
  • An example: KNN vs kMeans
  • K-Nearest Neighbors
  • kMeans

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  1. ML & Data Science
  2. Frequent Questions

Supervised vs Unsupervised learning

PreviousDiscriminative vs Generative modelsNextBatch vs Online Learning

Last updated 3 years ago

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More reading:

Supervised learning

  • It requires labeled data for training.

  • Tasks are mainly focused on getting a solution or prediction expressed as a:

    • Classification

    • Regression

Unsupervised learning

  • It does not require labeled data due to it does not perform training.

  • Tasks are mainly focused on getting insights or guesses through:

    • Clustering

    • Visualization

    • Dimensionality reduction

    • Asociation mining

An example: KNN vs kMeans

More reading:

K-Nearest Neighbors

  • Supervised algorithm

  • Based on how similar is an instance from its k neighbors

  • There is no training

  • It measures the distance between instances (Euclidian, Manhattan...)

kMeans

  • Unsupervised algorithm

  • Clustering algorithm

  • Iteratively assigns data to k groups

What is the difference between supervised and unsupervised machine learning? (Quora)
How is the k-nearest neighbor algorithm different from k-means clustering? (Quora)
kNN
kMeans