Machine Learning/ Statistics/ Probability/ Computer Science/ Optimization
Examples:
- Speech Recognition - Learning to recognize spoken words.
- Robotics - Learning to drive an autonomous vehicle.
- Games/ Reasoning - Learning to beat the masters at board games.
- Computer Vision - Learning to recognize images.
- Learning Theory - In what cases and how well can we learn?
Three components <T,P,E>:
- Task, T
- Performance measure, P
- Experience, E
Definition of learning:
A computer program learns if its performance at tasks in T, as measured by P, improves with experience E.
The same task can be formulated in more than one way.