Visualization

In this lesson, we covered key concepts in machine learning, such as data, features, labels, models, algorithms, evaluation metrics, overfitting and underfitting, and cross-validation. This information should help your non-technical customers understand the basic components and considerations involved in building and evaluating machine learning models.