In machine learning, we are looking to find the "best" function that allows us to predict new examples. We typically define the "best" function as one that maximizes or minimizes an objective function. In this homework, I would like you to start developing an intuitive idea of how a function can be maximized or minimized. In class, we will spend time thinking about what objective function "makes sense" for our problem, and then we will discover ways to maximize or minimize the function. 1. Iff(x)=7x2 8x 10,thenf(10)=790. The best straight line approximation to f (x) at any point x is the line 14x 8. Without evaluating the function at f (10 0.01) and f (10 0.01), can you determine if f(10 0.01)