*ANSWER* question 2
I couldnt understand the reasoning behind the answer to question 2.
Its clear that detecting fraudulent credit card transactions is a machine learning problem because it satisfies the three requirements needed for a problem to be solved using machine learning.
I dont understand how finding the optimal cycle for traffic lights is a machine learning problem. Where are you going to get the data from. Are you going to experiment on busy traffic intersections to collect data? and what is the pattern.
I actually thought that modelling the time it takes for falling objects is a machine learning problem. Yes it can be modeled mathematically, but you can be lazy about it and let the computer come up with the model, further there is the issue of friction with air, changing wind conditions which may introduce some uncertainty into the mathematical model.
I know that this is a subjective question and depends on how you look at it.
