Chapter 5 Supervised, Unsupervised and Semi-Supervised Learning Flashcards

1
Q

WHAT IS THE GOAL OF UNSUPERVISED LEARNING? P26

A

To model the underlying structure or distribution in the data

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2
Q

WHAT ARE THE 2 GROUPS OF UNSUPERVISED LEARNING? P26

A

ˆ Clustering: A clustering problem is where you want to discover the inherent groupings in the data, such as grouping customers by purchasing behavior.
ˆ Association: An association rule learning problem is where you want to discover rules that describe large portions of your data, such as people that buy A also tend to buy B.

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3
Q

WHAT ARE SOME POPULAR UNSUPERVISED LEARNING ALGORITHMS? P26

A

K-means for clustering
Apriori algorithm for association rule learning problems

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4
Q

WHAT ARE SEMI-SUPERVISED LEARNING PROBLEMS? P26

A

Problems where you have a large amount of data (X) and only some of the data is labeled (Y).

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