Derive the Sigmoid Function: A Machine Learning Model

The Sigmoid Function a Widely Known Machine Learning Model

Disclaimer: The material in this article is purely educational and should not be taken as professional investment advice. Invest & budget at your own discretion. Affiliate links are in this article (by clicking on these links you help me out with no additional cost to yourself). Please enjoy the article!

The sigmoid function is commonly used in artificial intelligence and machine learning. If you are learning data science, data analytics or artificial intelligence, then it’s likely that you’ve come across this function before.

What Is the Sigmoid Function?

The sigmoid function is a mathematical function that maps input values to a range between 0 and 1. It is commonly used in various fields, including mathematics, statistics, and machine learning. The most widely known sigmoid function is the logistic function, also known as the logistic sigmoid. The logistic sigmoid function is invertible, and its inverse is the logit function.

The logistic sigmoid function is defined as:

σ(x) = 1 / (1 + e^(-x))

where:

• x is the input value or variable,
• e is the mathematical constant known…