Data Science Wiki – 700+ Data Science Terms Explained

Your complete reference for data science, machine learning, and statistics concepts.

Browse the Full Glossary Explore Machine Learning Terms

Featured Data Science Concepts

A/B Testing Learn how controlled experiments improve product decisions and marketing performance.

Regression Understand predictive modeling techniques for forecasting and trend analysis.

Overfitting Discover why machine learning models sometimes fail to generalize.

Entropy Explore information theory and its role in decision trees and AI.

What Is Data Science?

Data science is an interdisciplinary field that combines statistics, machine learning, data analysis, and programming to extract insights from data. It powers applications in artificial intelligence, predictive analytics, business intelligence, and automation.

The Data Science Wiki is a structured glossary containing over 700 clearly explained terms covering:

Machine learning algorithms
Statistical concepts
Data visualization techniques
AI and deep learning terminology
Experimental design and analytics methods

Each term includes a concise definition, detailed explanation, practical examples, and real-world use cases. Our goal is to help students, professionals, and researchers build a strong conceptual foundation in data science.

Whether you are learning about concepts like regression analysis, classification models, hypothesis testing, or model evaluation metrics, this glossary serves as a reliable and easy-to-navigate reference.

Start exploring the full glossary to deepen your understanding of modern data science and machine learning concepts.