Latest Posts
We classify finite cyclic groups based on the sum of the orders of their proper subgroups

Using the classic Iris dataset, we implement a K-Nearest Neighbors classifier to classify iris species based on their sepal and petal measurements.

We go over how a simple neural network can learn the nonlinear XOR function, a classic problem in machine learning.

We introduce the concept of finite field density and explore some of its properties.

Exploring how to apply multivariate linear regression using the a well-known advertising dataset as an example.

A discussion of how logistic regression works and how it can be applied to the task of classification. We create a model to predict whether binary compounds will form ionic or covalent bonds.

Demonstrating the use of linear regression to understand the relationship between the length and mass of invasive Burmese pythons in the Florida Everglades.
