Intro Flashcards
Data mining
A cross-disciplinary field focused on discovering properties (patterns) of (very large) data sets
CS vs ML Determinism Rules
CS
CS vs ML Generalization is key
ML
CS vs ML Errors are not tolerated
CS
CS vs ML Errors part of the landscape
ML
CS vs ML Algorithms learn
ML
CS vs ML Algorithms do not learn
CS
CS Program(data) =>
Output
Most important artifact of CS
Program
ML Data(program) =>
Model => output
ML most important artifact
Data
The machine learning problem
Generalizing to cases we have not seen before
How do we deal with combinatorial explosion?
Generalization
Generalization
The ability of a machine learning model to perform well on unseen data
For AI to be useful
It must have common sense
Casuality
Makes inferences based on cause rather than correlation
