Participate in this quiz to evaluate your knowledge of Boosting, an Ensemble Learning technique in Machine Learning used for regression and classification problems.
Learning resources for this quiz:
- ‘Ensemble Learning’ Interview Questions
- Top 20 Interview Questions on Ensemble Learning with detailed Answers (All free)
- What is Gradient Boosting (GBM)? Describe how does the Gradient Boosting algorithm work
- How is Gradient Boosting different from Random Forest?
- What does Gradient in Gradient Boosted Trees refer to?
- What is XGBoost? How does it improve upon standard GBM?
- What is the difference between Adaboost and Gradient boost?
- Distinguish between a Weak learner and a Strong Learner
- What are the best ways to safeguard against overfitting a GBM?
- GBM vs Random Forest: which algorithm should be used when?
- What are the advantages and disadvantages of a GBM model?
- What are the key hyperparameters for a GBM model?