Training Data vs. Test Data in Machine Learning — Essential Guide

Author(s): Hrvoje Smolic

Originally published on Towards AI.

Read on to understand the difference between training data vs. test data in machine learning.

Knowing the difference and ensuring you’re using both the right way is essential. In this article, we will discuss training data vs. test data and explain more about each.

It aims to be an introduction for anyone who needs to know the difference between the various dataset splits while training Machine Learning models.

Machine learning (ML) is a branch of artificial intelligence (AI) that uses data and algorithms to mimic real-world situations so organizations can forecast, analyze, and study human behaviors and events.

ML usage lets organizations understand customer behaviors, spot process- and operation-related patterns, and forecast trends and developments. Many companies, in… Read the full blog for free on Medium.

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Published via Towards AI