Supervised and unsupervised learning
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1) Unsupervised learning involves providing data to kids without labels or dependent variables, allowing them to identify groups or patterns on their own based on similarity. 2) Supervised learning provides both data and labels to kids, informing them what the different items are, with a dependent variable. 3) Common unsupervised techniques are cluster analysis and factor analysis, while common supervised techniques include regression, logistic regression, and discriminant analysis.
Supervised and unsupervised learning
- 1. Supervised and Unsupervised Learning Dr. Manohar Kapse mk10oct@gmail.com
- 2. Supervised and Unsupervised Learning Information or Data given to kid
- 4. Unsupervised Learning Information or Data given to kids But not informed what it is i.e. No Label or Dependent Variable
- 5. Unsupervised Learning No label or Identifier or dependent variable If you can identify on some basis similarity What information it can give
- 6. Un Supervised LearningThese are one group These are another group If the kid can group them with out label
- 7. Then it is Unsupervised Learning Unsupervised Techniques are Cluster Analysis Factor Analysis
- 9. Supervised LearningKids are Informed These are Animals Kids are informed These are fish Label or identifier or Dependent Variable
- 10. On the basis of information or labels or dependent Variable If we can answer What is this- Supervised Learning