COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
|
A well-defined learning task given by <P, T, E> in which computer program improves with experience.
|
|
A well-defined learning task given by <M, L, E> in which computer program improves with experience.
|
|
A well-defined learning task given by <P, L, E> in which computer program improves with experience.
|
|
None of the above
|
Detailed explanation-1: -The formal definition of Well posed learning problem is, “A computer program is said to learn from Experience E when given a task T, and some performance measure P. If it performs on T with a performance measure P, then it upgrades with experience E.
Detailed explanation-2: -Two definitions of Machine Learning are offered. Arthur Samuel described it as: “the field of study that gives computers the ability to learn without being explicitly programmed.” This is an older, informal definition.
Detailed explanation-3: -Machine Learning is the training of a model from data that generalizes a decision against a performance measure. Training a model suggests training examples. A model suggests state acquired through experience.
Detailed explanation-4: -Well Posed Learning Problem – A computer program is said to learn from experience E in context to some task T and some performance measure P, if its performance on T, as was measured by P, upgrades with experience E. Any problem can be segregated as well-posed learning problem if it has three traits – Task.