SBI Life Insurance Company Analytics Manager Interview Questions and Answers

Supervised learning is a type of machine learning where the model is trained on labeled data to make predictions or decisions.

• Uses labeled data for training

• Predicts outcomes based on input features

• Examples include regression and classification algorithms

Unsupervised learning is a type of machine learning where the model is trained on unlabeled data without any predefined output labels.

• No predefined output labels are provided for the training data

• The model must find patterns and relationships in the data on its own

• Common techniques include clustering and dimensionality reduction

• Examples: K-means clustering, Principal Component Analysis (PCA)