AI-900: Machine Learning Models: Regression vs Time Series Forecasting

Learn about the differences between regression and time series forecasting, two common types of machine learning models that can be used to make predictions from data.

Question

Which of the following are machine learning models?

Select all that apply.

A. Regression
B. Polarization
C. Time series forecasting

Answer

A. Regression
C. Time series forecasting

Explanation

Time series forecasting is a machine learning model.

The correct answer is A and C. Regression and time series forecasting are both types of machine learning models that can be used to make predictions from data. Regression models are used to predict a continuous response variable, such as the price of a house or the height of a person, based on one or more predictor variables, such as the size of the house or the age of the person. Time series forecasting models are used to predict future values of a variable, such as the sales of a product or the temperature of a city, based on past values of the same variable. Polarization is not a type of machine learning model, but a phenomenon that occurs when a population becomes divided into two or more groups with opposing views or preferences.

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