Machine learning techniques differ from statistical techniques in that machine learning methods
A) typically assume an underlying distribution for the data.
B) are better able to deal with missing and noisy data.
C) are not able to explain their behavior.
D) have trouble with large-sized datasets.

Question

Quizplus · Accepted Answer

Machine learning methods are designed to handle missing, noisy, and complex data sets, while statistical techniques rely on having complete and accurate data. Machine learning also focuses on predicting outcomes, whereas statistical analysis is more concerned with understanding the relationship between variables. However, machine learning models often lack interpretability, meaning it can be difficult to understand why the model made a particular prediction. Additionally, machine learning can be computationally intensive and may struggle with very large datasets.

Machine Learning Techniques Differ from Statistical Techniques in That Machine