Royal Cyber Data Scientist Interview Questions and Answers

Boosting is an ensemble learning technique that combines multiple weak learners to create a strong learner.

• Boosting works by training models sequentially, with each model correcting the errors of its predecessor.

• Popular boosting algorithms include AdaBoost, Gradient Boosting, and XGBoost.

• Boosting is effective in reducing bias and variance, leading to improved predictive performance.

• Boosting is commonly used in machine ...read more