Hypothesis space and inductive bias. (4 points) We want to learnan unknown function f that takes n input arguments x1; x2; : : : ;xn and produces one output y. The input variables are boolean, i.e.each xi can be either T (true) or F (false). The output variable ycan take on one of k different values. An example is a healthcarescenario where each of the xi corresponds to a symptom (the patienthas the symptom or not), and y corresponds to the diagnosis (thereare k diseases that can be diagnosed). (a) Let’s consider thehypothesis space H consisting of all functions that
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