Question

Explain Data formats for supervised learning problem with example.​

Answer 1

Answer:

In a supervised learning problem, there will always be a dataset, defined as a finite set of real vectors with m features each: Considering that our approach is always probabilistic, we need to consider each X as drawn from a statistical multivariate distribution D.

Answer 2

Answer:

In supervised learning, each example is a pair consisting of an input object (typically a vector) and a desired output value (also called the supervisory signal). A supervised learning algorithm analyzes the training data and produces an inferred function, which can be used for mapping new examples.