Final answer:
The correct answer is C. both of the above. XGBoost can build learners parallelly and has the advantage of distributed computing.
Step-by-step explanation:
The correct answer is C. both of the above.
XGBoost is a popular machine learning algorithm used for supervised learning tasks. It can build learners parallelly, meaning it can train multiple trees simultaneously, which significantly speeds up the training process. Additionally, XGBoost has the advantage of distributed computing, allowing it to be used in distributed computing environments such as Apache Hadoop or Apache Spark.
Therefore, both options A and B are correct for XGBoost.