Which of the following problems are best suited for Machine Learning? (i) Classifying numbers into primes and non-primes.
(ii) Detecting potential fraud in credit card charges.
(iii) Determining the time it would take a falling object to hit the ground.
(iv) Determining the optimal cycle for traffic lights in a busy intersection.
[a] (ii) and (iv)
[b] (i) and (ii)
[c] (i), (ii), and (iii)
[d] (iii)
[e] (i) and (iii

you can first factor out the n to get n(1+5). we know that 1+5 is 6, so we just have 6n.

about 168 miles

step-by-step explanation:

the polynomial is a perfect square trinomial of the form a^2-2ab+b^2:

option a. true

step-by-step explanation:

9x^2-12x+4

comparing with the form a^2-2ab+b^2

1.) a^2=9x^2

solving for a: square root both sides of the equation:

sqrt(a^2)=sqrt(9x^2)

a=sqrt(9) sqrt(x^2)

a=3x

2.) b^2=4

solving for b: square root both sides of the equation:

sqrt(b^2)=sqrt(4)

b=2

to be a perfet square trinomial 2ab must be equal to 12x. let's check:

2ab = 2 (3x) (2)

2ab = 12x

correct