Machine Learning Articles

James Le

Updated on August 12, 2025

A machine learning algorithm is a set of instructions that enables a system to learn patterns from data and make predictions or decisions without being explicitly programmed for each task. Here are the machine learning algorithms beginners should know.

Srishti Saha

Updated on August 11, 2025

Covariance indicates the direction of the linear relationship between two variables and how they vary, while correlation measures both the strength and direction of the linear relationship between two variables.

Sparsh Gupta

Updated on August 11, 2025

A loss function in machine learning is a mathematical formula that measures the difference between a model’s predicted output and the actual target value, guiding optimization during training. Here are common loss functions to know and when to use them.

Parag Radke

Updated on August 11, 2025

Forward chaining and backward chaining are two approaches to designing an expert system for AI that help you solve complex problems. Learn how they work.

Amy Lokey

Updated on August 08, 2025

AI systems may be able to operate more independently, but its success will hinge on how well it empowers the people using it. Our expert details a blueprint for human-centered AI.

Soner Yıldırım

Updated on August 04, 2025

The dot product of a matrix refers to the matrix multiplication process, where the dot product is computed between rows of the first matrix and columns of the second matrix to produce a new matrix.

Alex Vakulov

Updated on August 04, 2025

The C2PA standard enables embedding metadata into images and other media content to verify the presence of AI.

Sandro Shubladze

Updated on August 04, 2025

High-quality, fresh data is critical for AI performance. Fortunately, public data scraping offers a source for such data.

Artem Oppermann

Updated on July 31, 2025

CatBoost is a machine learning gradient-boosting library that builds decision trees optimized for handling categorical data with high accuracy and minimal data preprocessing.

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.