Question 1: Which of the following represents a challenge of machine learning methods?
a. Researchers are often focused more on meaning than on accuracy when it comes to the models created by machine learning.
b. Machine learning has outpaced current technology in many ways, which puts a halt on future breakthroughs in machine learning methods.
c. It is difficult to synthesize various resources’ qualitative data, which is often necessary for larger sample sizes used in machine learning.
d. Researchers are still hesitant to use machine learning over traditional statistical methods, making adoption tenuous.
Question 2: Which of the following is an advantage of machine learning over statistical analysis?
a. Machine learning can create data models using pattern recognition.
b. Machine learning works from existing assumptions about the data.
c. Machine learning works using explicit models more effectively than statistics.
d. Machine learning does not make predictions, but rather relies on statistical analysis.