What is the difference between supervised learning and unsupervised learning? Give concrete examples

Data Science Interview QuestionsCategory: Data ScienceWhat is the difference between supervised learning and unsupervised learning? Give concrete examples
1 Answers
MockInterview Staff answered 6 years ago
  • Supervised learning: inferring a function from labeled training data
  • Supervised learning: predictor measurements associated with a response measurement; we wish to fit a model that relates both for better understanding the relation between them (inference) or with the aim to accurately predicting the response for future observations (prediction)
  • Supervised learning: support vector machines, neural networks, linear regression, logistic regression, extreme gradient boosting
  • Supervised learning examples: predict the price of a house based on the are, size.; churn prediction; predict the relevance of search engine results.
  • Unsupervised learning: inferring a function to describe hidden structure of unlabeled data
  • Unsupervised learning: we lack a response variable that can supervise our analysis
  • Unsupervised learning: clustering, principal component analysis, singular value decomposition; identify group of customers
  • Unsupervised learning examples: find customer segments; image segmentation; classify US senators by their voting.

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