Bill Surrette, a Data Scientist at DataRobot, is back with more helpful insights for DataRobot’s AI Simplified series. This time, Bill focuses on Cross-Validation, an extension of the training, validation, and holdout process. In this video, Bill talks about what to do if you don’t have enough data, or if the data you do have is very noisy.
Missed Bill’s first video? Watch and learn about Training, Validation, and Holdout and why it’s an important key step when developing machine learning models.
In the need for more AI Simplified education? Check out our original AI Simplified video explaining Automated Machine Learning!