INIA
Machine learning:
Programming computers to optimize a performance criterion using example data or past experience.
Learning used when:
- humans expertise does not exist (navigating on Mars)
- humans are unable to explain their expertise (speech recognition)
- solutions changes in time (routing on a computer network)
- solution needs to be adapted to particular cases (user biometrics)
Supervised methods:
learning a function that maps an input (features) to an output (target
or labels) based on examples input-output pairs.
- discrete output values -> classification
- continuous output values -> regression
INIA
Machine learning:
Programming computers to optimize a performance criterion using example data or past experience.
Learning used when:
Supervised methods:
learning a function that maps an input (features) to an output (target
or labels) based on examples input-output pairs.