Chapter 5 Supervised, Unsupervised and Semi-Supervised Learning

Question 1

WHAT IS THE GOAL OF UNSUPERVISED LEARNING? P26

Answer 1

To model the underlying structure or distribution in the data

Question 2

WHAT ARE THE 2 GROUPS OF UNSUPERVISED LEARNING? P26

Answer 2

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.

Question 3

WHAT ARE SOME POPULAR UNSUPERVISED LEARNING ALGORITHMS? P26

Answer 3

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

Question 4

WHAT ARE SEMI-SUPERVISED LEARNING PROBLEMS? P26

Answer 4

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