[5 points] suppose we run the perceptron algorithm with w initialized to be an arbitrary unit vector. suppose that the algorithm is then given the same vector x (whose label is 1) over and over again. how many mistakes can it make in the worst case?
express your answer in terms of ||x||2. (hint: derive the result from first principles, do not attempt to use the general result we proved in class).

equal to

step-by-step explanation:

b is the correct answer

the given growth  function for the length of the fish (cm) is

f(m) = 5(1.07)m = 5.35m

where 

m = months

at the end of the study, the length is 9.19 cm. the  time for conducting the study is determined as

5.35m = 9.19

m = 1.7178 months

part a.

the study was performed over a time period  of about 1.72 months. therefore  the domain for  plotting the function is 0 < = m < = 1.72.

note:

if growth  continues at this rate for up to m months, then the domain would be 0< =m< =m.

part b.

the growth function is a linear function.

when m=0, f=0.

therefore the initial growth is zero, which represents the y-intercept.

part c.

assume that the growth function is valid for 0< =m< =9.

the average rate of change of the function is the slope of the linear function, which is 5.35 cm/month.