Valid Databricks-Machine-Learning-Associate Dumps shared by ExamDiscuss.com for Helping Passing Databricks-Machine-Learning-Associate Exam! ExamDiscuss.com now offer the newest Databricks-Machine-Learning-Associate exam dumps, the ExamDiscuss.com Databricks-Machine-Learning-Associate exam questions have been updated and answers have been corrected get the newest ExamDiscuss.com Databricks-Machine-Learning-Associate dumps with Test Engine here:
Which of the following machine learning algorithms typically uses bagging?
Correct Answer: C
Random Forest is a machine learning algorithm that typically uses bagging (Bootstrap Aggregating). Bagging is a technique that involves training multiple base models (such as decision trees) on different subsets of the data and then combining their predictions to improve overall model performance. Each subset is created by randomly sampling with replacement from the original dataset. The Random Forest algorithm builds multiple decision trees and merges them to get a more accurate and stable prediction. Reference: Databricks documentation on Random Forest: Random Forest in Spark ML
