Unsupervised Learning Articles

Sara A. Metwalli

Updated on July 31, 2025

Data labeling is the process of annotating raw data with meaningful tags or classifications so machine learning models can learn to recognize patterns and make accurate predictions.

Ali Zonoozi

Updated on July 31, 2025

Matrix factorization is a mathematical technique that decomposes a large matrix into two lower-rank matrices whose product approximates the original, revealing latent patterns in the data. It's used in data science and unsupervised learning applications.

Anthony Corbo

Updated on June 17, 2025

Supervised learning is a type of machine learning approach that uses labeled data sets to train algorithms to classify data or predict outcomes.

Harshil Patel

Updated on November 07, 2024

Feature engineering is the process of selecting, manipulating and transforming raw data into features that can be used in supervised learning.

Oscar Contreras Carrasco

Updated on September 30, 2024

A Gaussian mixture model is a soft clustering machine learning method used to determine the probability each data point belongs to a given cluster. Learn more.

Sanatan Mishra

Updated on August 15, 2024

Unsupervised clustering is an unsupervised learning process in which data points are put into clusters to determine how the data is distributed in space.

Anthony Corbo

Updated on November 07, 2023

Unsupervised learning is a form of machine learning that involves processing unlabeled data inputs and outputs in order to predict outcomes.

Vihar Kurama

Updated on May 15, 2023

In unsupervised learning, the algorithms are left to themselves to discover interesting structures in the data.