Question 1
What is the primary goal of optimization in machine learning?
Question 2
Which of the following best describes a convex function?
Question 3
In the context of gradient methods, what does the 'gradient' represent?
Question 4
Which of these is a common gradient method used in machine learning optimization?
Question 5
What is the primary challenge when optimizing non-convex functions?
