Machine Learning Articles

Francesco Bellelli

Updated on March 11, 2025

A Voronoi diagram (or Dirichlet tessellation or Thiessen polygons) is a type of tessellation pattern where points on a plane are divided into exactly n number of cells, which enclose a region of the plane that is closest to each point.

Alexandre Zajic

Updated on March 11, 2025

Akaike Information Criterion (AIC) is a metric with a single number score that measures which machine learning model is best for a given data set, in comparison to other models for the same set. Here’s what you need to know.

Shesh Narayan Gupta

Updated on March 11, 2025

Our expert explains everything you need to know about installing DeepSeek locally on both Mac and PC. Learn more.

Noah Topper

Updated on March 10, 2025

Beam search is an approximate search algorithm that only remembers the top possible solutions to determine the best one. Here’s how it works, its applications, advantages, potential limitations and an example of beam search in action.

Carla Martins

Updated on March 10, 2025

Gaussian Naive Bayes is a classification technique used in machine learning based on the probabilistic approach and Gaussian distribution. Here’s a deep dive on how to use it in Scikit-Learn.

Peter Grant

Updated on March 06, 2025

The bias-variance tradeoff describes the inverse relationship between bias and variance, where increasing one decreases the other. Here’s how to strike a balance between the two, so a model learns enough details about a data set without picking up noise.

Richmond Alake

Updated on March 05, 2025

Cosine similarity measures the similarity between two non-zero vectors by calculating the cosine of the angle between them. Here's the basics behind cosine similarity and how it is used across different areas of machine learning.

KSV Muralidhar

Updated on March 05, 2025

Adjusted R-squared is a modified version of R-squared that adjusts for predictors that do not contribute to predictive accuracy in a regression model. It can be a reliable measure of goodness of fit for multiple regression problems.

Vegard Flovik

Updated on March 04, 2025

Graph theory is the study of graph data structures, which model object relationships using vertices connected by edges. It is a helpful tool to quantify and simplify complex systems.

Gokul S. Kumar

Updated on March 04, 2025

A neural network is a series of algorithms that identifies patterns and relationships in data, similar to the way the brain operates. Here's how they work.