What is Supervised Learning?

1.	What is Supervised Learning?
Answer» Supervised LEARNING is a machine learning algorithm of inferring a function from labeled training data. The training data consists of a set of training EXAMPLES. Example: 01 Knowing the height and weight identifying the gender of the person. Below are the popular supervised learning algorithms. SUPPORT Vector Machines Regression Naive Bayes Decision Trees K-nearest Neighbour Algorithm and Neural Networks. Example: 02 If you build a T-shirt CLASSIFIER, the labels will be “this is an S, this is an M and this is L”, BASED on showing the classifier examples of S, M, and L.

Answer»

Supervised LEARNING is a machine learning algorithm of inferring a function from labeled training data. The training data consists of a set of training EXAMPLES.

Example: 01

Knowing the height and weight identifying the gender of the person. Below are the popular supervised learning algorithms.

SUPPORT Vector Machines
Regression
Naive Bayes
Decision Trees
K-nearest Neighbour Algorithm and Neural Networks.

Example: 02

If you build a T-shirt CLASSIFIER, the labels will be “this is an S, this is an M and this is L”, BASED on showing the classifier examples of S, M, and L.

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What is Supervised Learning?

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