# Sampling

## Definition of Sampling

Sampling: Sampling is the process of selecting a subset of a population for study. This can be done randomly or using some other method such as stratified sampling.

Skip to content
# Sampling

## Definition of Sampling

*Related*

## Similar Posts

### Modeling

### Gaussian Distribution

### Data Wrangling

### Growth Curve

### Input

Sampling: Sampling is the process of selecting a subset of a population for study. This can be done randomly or using some other method such as stratified sampling.

ByDavis

Definition of Modeling Modeling: Modeling is the process of creating a mathematical representation of a real world phenomenon. Modeling is a process of using past data to understand and predict future outcomes. It can involve creating mathematical models to represent relationships in the data, or using machine learning techniques to build models from data that…

ByDavis

Definition of Gaussian Distribution Gaussian Distribution – A Gaussian or normal distribution is a type of probability distribution that is bell-shaped and symmetrical. This distribution is often used in statistics to model real-world data. What is a Gaussian Distribution used for? A Gaussian Distribution, more commonly known as a normal distribution or bell curve, is…

ByDavis

Definition of Data Wrangling Data wrangling is the process of manipulating and cleaning data in order to prepare it for analysis. This can involve anything from removing duplicates to transforming data into a different format. Data wrangling can be a time-consuming process, but it is essential for ensuring that data is ready for analysis. What…

ByDavis

Definition of Growth Curve Growth Curve – A growth curve is a graphical representation of the change in some quantity over time. It can show how the quantity changes over the entire range of time being studied, or it can focus on more specific intervals of time. The most common type of growth curve is…

ByDavis

Definition of Input Input: Input refers to the data that is given to a machine learning algorithm in order to learn from it. The input can be in a number of formats, including text, images, and videos. What are the most common types of Input given to machine learning algorithms? The most common types of…