Linear and nonlinear models are two types of mathematical functions that can be used to describe the relationships between variables. In this article, you will learn what they are, how they differ ...

Nonlinear regression is a form of regression analysis in which data is fit to a model and then expressed as a mathematical function. Simple linear regression relates two variables (X and Y) with a ...

However this is not the case with non-linear functions. A non-linear function does not have a constant slope. Consider the non-linear function shown below. What is the slope at some point such as P?

Keeping it as a reference point, in this post, we will discuss in detail the kernel used to learn non-linear functions used to map the non-linear relationship between two variables. We will go through ...

Using a nonlinear dataset, we saw that no adequate decision boundary can be learnt when the neural network behaves linearly. Converting the linear activation functions into nonlinear ones, on the ...

Quantum Neural Network(QNN) is quiet popular these days, and the main difficulty is that the quantum system is linear since all the transformation is unitary. However, by implement ...

For incremental algorithms, limiting the function approximator to linear function approximators does not help convergence very much. Fortunately there are ways to ensure that all these algorithms will ...

Spread the loveLinear and nonlinear functions are the building blocks of algebra. They are essential to the understanding of graphs, equations, and the principles that govern the study of mathematics ...