Machine Learning Algorithms Articles

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.

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.

Saransh Chopra

Updated on July 22, 2025

Logistic regression algorithm is a machine learning algorithm used for classifying tasks. Here’s how to create a neural network logistic regression with sample code. 

Drew Jacobs

Updated on July 22, 2025

Speech analytics records and analyzes conversations to understand the content and sentiment of business communication.

Rohan Mistry

Updated on July 16, 2025

Model interpretability refers to how easy it is to understand how a model works. Common techniques include SHAP, LIME, PDPs and more. Learn more.

Bushra Anjum

Updated on July 14, 2025

Choosing the right tool depends on your data type, goal, data volume and need for transparency. Our expert offers a framework for this decision.

Mór Kapronczay

Updated on July 10, 2025

Mean squared error (MSE) and mean squared logarithmic error (MSLE) are loss functions used to evaluate regression model prediction accuracy. MSE prioritizes minimizing large absolute errors, and MSLE reduces outlier impact through logarithmic scaling.

Jayanta Adhikary

Updated on July 08, 2025

Ollama is an open-source platform that allows users to run LLMs locally using a REST API. Here’s how to use it.

Giorgos Myrianthous

Updated on June 24, 2025

Diffusion models are generative AI models based on principles drawn from physics that are useful for image generation. Our expert explains how they work.