Machine Learning Probability Bayesian Network P(CA,B) 0.8 0.2 0.6 0.1 0.2 0.8 ta to P(B A)...

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Machine Learning Probability Bayesian Network P(CA,B) 0.8 0.2 0.6 0.1 0.2 0.8 ta to P(B A) 60.5 P(DIC) +d 0.1 ta +6 P(A) ta 9. ta +c to 0.5 0.5 te 0.5 B (D 0.2 0.8 Id0.2 0.8 +6 4. +c 0.1 0.9 a. Determine the joint probatbility distribution equation of the BN! b. Determine P(D a)using hference by Enumiration! c. Determine P (DT0usirng Variable Flinmination! d. Determine P (D Dsingnterente by Fnumiration! e. Determine P (Db)using Variabletlimination! Machine Learning Probability Bayesian Network P(CA,B) 0.8 0.2 0.6 0.1 0.2 0.8 ta to P(B A) 60.5 P(DIC) +d 0.1 ta +6 P(A) ta 9. ta +c to 0.5 0.5 te 0.5 B (D 0.2 0.8 Id0.2 0.8 +6 4. +c 0.1 0.9 a. Determine the joint probatbility distribution equation of the BN! b. Determine P(D a)using hference by Enumiration! c. Determine P (DT0usirng Variable Flinmination! d. Determine P (D Dsingnterente by Fnumiration! e. Determine P (Db)using Variabletlimination!