Probabilistic Reasoning (July - November, 2024)
Probabilistic Reasoning (July - November, 2024)
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The course is intended for the 5th-semester undergraduate students pursuing B. Tech in Computer Science (Artificial Intelligence) Engineering. All the resource materials, along with the course details, are given here. The contents are taken from multiple resources and are prepared for circulation among the students only.
22AIE301_Part0_CourseIntroduction.pdfCourse Introduction
22AIE301_Part1_FundamentalsOfProbability.pdfFundamentals of Probability - I
22AIE301_Part2_FundamentalsOfProbability2.pdfFundamentals of Probability - II
22AIE301_Part3_IntroToProbabilisticGraphicalModels.pdfIntroduction to Probabilistic Graphical Models
22AIE301_Part8_MRF_HMM_DecisionNetworks.pdfHMM, Markov Random Fields and Decision Networks
22AIE301_Part9_ApproximateInference.pdfApproximate Inference Methods: Sampling based methods
22AIE301_Part4_BayesianNetworks.pdfPart 4: Intro to Bayesian Networks
22AIE301_Part5_MarkovNetworks.pdfPart 5: Intro to Markov Networks
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