Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors

Explain the unsupervised model of machine learning in detail with an example.

Photo of author

By Team EasyExamNotes

Unsupervised model of ML

Unsupervised model of machine learning uses machine learning algorithms to analyze and cluster unlabeled datasets. These algorithms discover hidden patterns or data groupings without the need for human intervention. Its ability to discover similarities and differences in information make it the ideal solution for exploratory data analysis, cross-selling strategies, customer segmentation, and image recognition.

Examples

Google News

Google News uses unsupervised learning to categorize articles on the same story from various online news outlets. For example, the results of a presidential election could be categorized under their label for “US” news.

Recommendation Engines

Using past purchase behavior data, unsupervised learning can help to discover data trends that can be used to develop more effective cross-selling strategies. This is used to make relevant add-on recommendations to customers during the checkout process for online retailers.

References/Sources:

https://www.ibm.com/

Download as PDF

Related posts:

  1. Explain the machine learning concept by taking an example. Describe the perspective and issues in machine learning.
  2. What is the role of preprocessing of data in machine learning? Why it is needed?
  3. Explain computer vision with an appropriate example
  4. Explain Reinformcement learning with an appropriate exaple
  5. Reinforcement Learning Framework
  6. Data augmentation
  7. Normalizing Data Sets in Machine Learning
  8. Machine learning models
  9. Unsupervised machine learning
  10. Neural Network in Machine Learning
  11. Recurrent neural network
  12. Support Vector Machines
  13. Long short-term memory (LSTM) networks
  14. Convolutional neural network