NYU (New York University) Intern Interview Questions and Answers

Supervised learning uses labeled data to train the model, while unsupervised learning uses unlabeled data.

• Supervised learning requires a target variable to predict, while unsupervised learning does not.

• In supervised learning, the model learns from the labeled training data and makes predictions on new data. In unsupervised learning, the model finds patterns and relationships in the data without guidance.

• Examples of sup...read more