AI Simplified: Training, Validation, and Holdout

June 22, 2018
· 1 min read

In the AI Simplified video series, data scientists at DataRobot explain artificial intelligence (AI) and machine learning concepts in a short, understandable and insightful way.

In this installment of the series, we focus on Training, Validation, and Holdout.

Bill Surrette, a Data Scientist at Datarobot, walks  through the process and explains why partitioning data into training, validation, and holdout is necessary for evaluating your machine learning models.

Like what you see? Watch our first AI Simplified video here:
“AI Simplified: What Is Automated Machine Learning?”


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Ashley Smith
Ashley Smith
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