Intro Flashcards
1
Q
Data mining
A
A cross-disciplinary field focused on discovering properties (patterns) of (very large) data sets
2
Q
CS vs ML Determinism Rules
A
CS
3
Q
CS vs ML Generalization is key
A
ML
4
Q
CS vs ML Errors are not tolerated
A
CS
5
Q
CS vs ML Errors part of the landscape
A
ML
6
Q
CS vs ML Algorithms learn
A
ML
7
Q
CS vs ML Algorithms do not learn
A
CS
8
Q
CS Program(data) =>
A
Output
9
Q
Most important artifact of CS
A
Program
10
Q
ML Data(program) =>
A
Model => output
11
Q
ML most important artifact
A
Data
12
Q
The machine learning problem
A
Generalizing to cases we have not seen before
13
Q
How do we deal with combinatorial explosion?
A
Generalization
14
Q
Generalization
A
The ability of a machine learning model to perform well on unseen data
15
Q
For AI to be useful
A
It must have common sense
