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 ...

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 ...

Often in economics a linear function cannot explain the relationship between variables. In such cases a non-linear function must be used. Non-linear means the graph is not a straight line. The graph ...

As we shall see, thanks to such activation functions, we can learn more complex patterns within data, compared to more linear approaches in the past. This includes an example TensorFlow model that ...

Some examples of generalized linear models follow. Explanatory variables can be any combination of continuous variables, classification variables, and interactions. Traditional Linear Model response ...

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 ...