Question

What is supervised learning? I know this is a very basic question but I've recently started learning machine learning and do not have much idea about the theoretical aspects. Also, it would be great if you could provide some resources to learn machine learning from. Thank you

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Answer 1

Supervised learning is an aspect of machine learning where the models learn from their previous experiences. A model has something called labeled training data. This labeled training data consists of various data sets which are labeled. Each data set has a set of inputs typically a vector and the desired output called as the supervisory signal. A supervised learning algorithm analyzed these training data sets and produces an inferred function which determines the possible outcome of the new examples.

To learn more about supervised learning read this blog on Supervised learning.

Answer 2

Supervised learning is the machine learning task of learning a function that maps an input to an output based on example input-output pairs. It infers a function from labeled training data consisting of a set of training examples.

In simple words,

Supervised learning is a process of learning data using various functions to create a model and then test the model using testing data to achieve necessary output accuracy. The below image explains the process of supervised learning.