How to Submit
Browse
Events
Communities
About

The Gaussian Integral for the Normal Distribution in Machine Leaning

11 October 2024, Version 1
Working Paper
This content is an early or alternative research output and has not been peer-reviewed by Cambridge University Press at the time of posting.

Abstract

The Gaussian distribution is a normal probability distribution that is a key concept in statistics and the backbone of machine learning. In normal distribution, data are symmetrically distributed with no skew. A data scientist needs to know about the normal distribution for data analysis. In this article, we can learn and understand how to use the Gaussian integral in the probability density function for a normal distribution and applications of machine learning.

Keywords

computation
gaussian distribution
dataset

Comments

Comments are not moderated before they are posted, but they can be removed by the site moderators if they are found to be in contravention of our Commenting and Discussion Policy [opens in a new tab] - please read this policy before you post. Comments should be used for scholarly discussion of the content in question. You can find more information about how to use the commenting feature here [opens in a new tab] .
This site is protected by reCAPTCHA and the Google Privacy Policy [opens in a new tab] and Terms of Service [opens in a new tab] apply.

Version History

Oct 11, 2024 Version 1

Metrics

234
49
0
Views
Downloads
Citations

License

CC logo
CC
BY logo
BY
The content is available under CC BY 4.0 [opens in a new tab]

DOI

10.33774/coe-2024-p4j6k
D O I: 10.33774/coe-2024-p4j6k [opens in a new tab]

Author’s competing interest statement

The author(s) have declared they have no conflict of interest with regard to this content

Ethics

The author(s) have declared ethics committee/IRB approval is not relevant to this content

Share