Give the right answer to each example of the data set(called training data).
Type
Regression: get the continuous values
Classification: get the discrete values like 0, 1, 2, 3 and so on
application scenarios
Regression: predict the price of the house based on the square, location of the house
house price
Classification:
Tumor prediction
Spam filter
Unsupervised learning
Type
Cluster algorithm
application scenarios
Google news: get lots of related news in the Internet and put them in one set of URL.
Social network: find the common friends.
Market segmentation: We all know the data, but we don‘t know the what kinds of market segmentation, so let unsupervised learning to deal with it.
Extract human voice from records: you know, there are some noise in these records, we need to get the human voice, so we let cluster algorithm to deal with.
