Data Glossary Lab

A Data Warehouse is a centralized data management system designed specifically for business intelligence and analytics.

Hyperparameters refer to parameters set before training a model, such as learning rate or number of layers.

Hadoop is a framework for distributed storage and processing of large datasets. It operates by breaking down massive files into smaller data blocks and distributing them physically across a cluster of standard computer servers.

A process to determine if a hypothesis is statistically significant. It involves comparing a baseline assumption about a population to observed sample data.

K-nearest neighbours is a supervised machine learning algorithm used for both classification and regression tasks.

Q-Learning is a machine learning algorithm, specifically classified under reinforcement learning.

Underfitting is a modeling error where the model is too simple to capture the underlying data patterns.

XML is a markup language used to store and transport data in a structured format. It defines a set of strict rules for encoding documents in a way that is both human-readable and machine-readable. 

YARN stands for Yet Another Resource Negotiator. It is a cluster management technology and a core component of the Apache Hadoop open-source software framework, designed to manage computing resources in clusters and schedule users' applications.