training data

Type: Concept

As of November 2026, training data has been mentioned in 2 episodes across 1 podcast, first heard Dec 2025 on Coffeez for Closers with Joe Shalaby.

In machine learning, a common task is the study and construction of algorithms that can learn from and make predictions on data. Such algorithms function by making data-driven predictions or decisions, through building a mathematical model from input data. These input data used to build the model are usually divided into multiple data sets. In particular, three data sets are commonly used in different stages of the creation of the model: training, validation, and testing sets.