- Machine Learning Examples
- Introduction to Machine Learning

Machine Learning Examples

# Introduction to Machine Learning

MindsDB offers four ways you can do machine learning:

- Natural Language Processing (NLP)
- Time Series
- Classification
- Regression

## Natural Language Processing (NLP)

Natural Language Processing (NLP) is a branch of artificial intelligence that enables computers to understand, interpret, and manipulate human language.

Learn more about NLP here and check out the examples!

## Time Series

Time series models fall under the regression or classification category. But what’s distinct about them is that we order data by date, time, or any value defining sequential order of events. Usually, predictions made by time series models are referred to as *forecasts*.

Learn more about Timie Series here and check out the examples!

## Classification

Classification is a type of predictive modeling that analyses input data, including relationships between dependent and independent variables and the target variable that is to be predicted. In the case of classification models, the target variable belongs to a set of discrete values.

Learn more about Classification here and check out the examples!

## Regression

Regression is a type of predictive modeling that analyses input data, including relationships between dependent and independent variables and the target variable that is to be predicted. In the case of regression models, the target variable belongs to a set of continuous values.

Learn more about Regression here and check out the examples!