EXL Service Data Scientist and Machine Learning Engineer Interview Questions and Answers

Supervised learning models are trained on labeled data with known outputs, while unsupervised learning models are trained on unlabeled data without known outputs.

• Supervised learning models require labeled data for training, where the algorithm learns to map input data to the correct output.

• Examples of supervised learning include linear regression, logistic regression, support vector machines, and neural networks.

• Unsupe...read more