Machine Learning Articles

Suraj Gurav

Updated on September 22, 2025

A confusion matrix is a table used to evaluate the performance of a classification model by comparing the predicted labels with the actual labels, showing true positives, true negatives, false positives and false negatives.

Gordon Gottsegen

Updated on September 17, 2025

Machine learning is at the helm of social media, self-driving cars and more daily applications.

Ellen Glover

Updated on September 16, 2025

Here’s everything you need to know about generative AI — a form of artificial intelligence that creates content.

Jye Sawtell-Rickson

Updated on September 16, 2025

PyTorch is an open-source machine learning framework used for training deep neural networks.

Eric Kleppen

Updated on September 16, 2025

We use sentiment analysis to gain insights into a target audience’s feelings about a particular topic. Here are the basics of sentiment analysis types and techniques.

Parul Pandey

Updated on September 15, 2025

Jupyternotify is a Jupyter Notebook extension that provides a browser notification when a code cell is done executing.

Mohammed Alhamid

Updated on September 12, 2025

An ensemble model combines multiple machine learning models to improve prediction accuracy, outperforming a single model. Here’s how and when to use ensemble techniques for your machine learning models.

Peter Grant

Updated on September 10, 2025

Do you need to improve your regression model’s performance? Use this sample Python code to help you find residuals in your own projects.

Sue Liu

Updated on September 02, 2025

The Dirichlet distribution is a multivariate probability distribution that models vectors of non-negative values summing to one, commonly used as a prior for categorical and multinomial variables in Bayesian statistics.

Steve Roop

Updated on August 28, 2025

OpenAI’s GPT-5 was announced to soaring hype but fell short of the revolutionary leap many expected. Here’s what went wrong and why GPT-5 still represents a step forward for AI.