Basics

Question 1

Data mining?

Answer 1

Data mining is the process of extracting and discovering patterns in
large data sets.

Question 2

Supervised learning

Answer 2

Objects that have been assigned class labels. Predictive data mining can be done. For example identify a customer who will return

Question 3

Unsupervised learning

Answer 3

Objects that have not been assigned class labels. Typically used for charecterizing objects to capture patterns

Question 4

Reinforcement learning

Answer 4

learns by trial and error

Question 5

Semi-supervised

Answer 5

Mix of labeled + unlabeled data.

Question 6

Descriptive Analytics

Answer 6

Descriptive analytics is about understanding what has happened in the past.
It summarizes and describes patterns, trends, or relationships in historical data.

Question 7

Predictive

Answer 7

Predictive analytics is about using data to forecast future outcomes.
It uses known data (training data) to build models that make predictions.

Question 8

Prescriptive Analytics

Answer 8

Focuses on optimization and decision-making using the results of descriptive and predictive analytics.