AI Glossary & Dictionary: Common AI Terms X

AI Glossary & Dictionary for “X”

Find the Flux+Form AI glossary & dictionary to help you make sense of common AI terms. Below you can find a AI Glossary & Dictionary for “X”:

XAI (Explainable AI)
Explainable AI refers to artificial intelligence systems designed to provide clear, understandable explanations for their decisions and actions. XAI enhances transparency, trust, and accountability by allowing users to interpret and validate AI-driven outcomes, ensuring ethical deployment in critical areas like healthcare, finance, and automated decision-making.

XGBoost (Extreme Gradient Boosting)
XGBoost (Extreme Gradient Boosting) is a powerful, scalable machine learning algorithm optimized for speed and performance. It uses gradient boosting to improve predictive accuracy by combining multiple weak models into a strong one. Widely used for structured data tasks, XGBoost excels in competitions and real-world applications like fraud detection and recommendation systems.

XML Parsing
XML Parsing is the process of reading and analyzing XML (Extensible Markup Language) data to extract, modify, or manipulate its contents. It enables applications to interpret structured data for web services, configuration files, and data storage. Common parsing methods include DOM (Document Object Model) and SAX (Simple API for XML).

 

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