- Supervised learning
- finite number of discrete categories --> classification problem
- continuous variables --> regression problem
- Unsupervised learning
- discover groups of similar examples --> clustering problem
- determine the distribution of data within the input space --> density estimation problem
- project the data form a high-dimensional space down to two or three dimensions --> visualization purpose
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