Data Glossary Lab

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.

It is an unsupervised machine learning algorithm used to group unlabeled data points into distinct categories, or clusters