> For the complete documentation index, see [llms.txt](https://vikram-bajaj.gitbook.io/cs-gy-6923-machine-learning/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://vikram-bajaj.gitbook.io/cs-gy-6923-machine-learning/types-of-machine-learning/supervised-learning.md).

# Supervised Learning

In this kind of learning, we assume that the training examples are labeled.

There are two kinds of Supervised Learning problems:

* Classification
* Regression

## Classification

It refers to the task of assigning a label to a given example i.e. to categorize it into one of multiply categories. Ex. spam/not spam, family car/not family car

Here, the output is discrete.

## Regression

It refers to the task of predicting a real-valued output. Ex. prediction house value, temperature

Here, the output is continuous.