QUESTION 10 4 points Save Answer A real estate firm would like to automate how it sets prices for properties. The firm has data about houses such as square meterage, number of rooms, features, whether a house has a garden or not and so on. As a real estate firm, it also knows the historical prices of these houses. Thus, the firm has data corresponding to thousands of houses, their features, and prices and so on The manager has heard of machine learning and specifically, supervised and unsupervised machine learning He has heard that this could speed up this process, and make fewer errors, and already has a database that could be used to help inform the machine learning system (training data). Given the type of house, the machine learning could also predict how many queries are received and thus how many agents to assign to a property that is for sale. Your task: Explain with reasons whether the real estate firm should use supervised machine learning or unsupervised machine learning to meet its objective (200 words) For the toolbar, presa ALT-F10 PC) O ALTFN-F10 (Med rintah