Latest Articles
Why Centroids Appear in k-Means: From an NP-Hard Problem to a Simple Heuristic
Let's start with an extremely simple question:
Why is the heuristic algorithm for solving the K-means problem based on centroids...
t-SNE: Visualizing Multidimensional World in 2D
The t-SNE algorithm, or more precisely, t-Distributed Stochastic Neighbor Embedding, whose principles we will explain in this article, is not, contrary to appearances, a competing method to the well-known Principal Component Analysis (PCA)...
Read More
LASSO Regression: Mastering Feature Selection for Predictive Models
LASSO (Least Absolute Shrinkage and Selection Operator), similar to ridge regression, is a certain modification of linear regression...
Read More
From Theory to Practice: Ridge Regression for Improved Predictive Models
Ridge regression introduces a regularization term that penalizes large coefficients, helping to stabilize the model and prevent overfitting. This regularization term...
Read More