[474] 3. Consider an example of a Bayesian belief network on a CS student getting placement in an MNC company. Event are {Admission to BE(A_BE), Completion of BE(C_BE), Good CGPA (CGPA), Short Listed for Interview (SLI), Good Performance in Interview (GPI), Selected for Job (SJ)} a. Construct the Bayesian belief network with above nodes and related edges. Each node representing an event and connection between nodes represents the dependency between nodes. Show suitable pre-conditions and their connection suitably. Also mention prior proabality or conditional probability for each node. Write the equation for joint proability P(SJ, GPI, SLI, CGPA,C_BE, A_BE) b. c. Write probability estimation equations for unconditional P(SJ) using chain rule on the above-constructed network.