QGATE DA 2025 Solutions | AI | Bayesian Network | GATE Data science PYQ
Автор: Piyush Wairale IITM
Загружено: 2025-07-23
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************Description*****
Bayesian Network Inference: Variable Elimination, Gibbs Sampling & Rejection Sampling Explained | GATE PYQ
Confused about which inference algorithms in Bayesian Networks are exact or approximate? 🤔
In this video, we break down a classic GATE-style question on Bayesian Network inference methods. Learn the key differences between:
✅ Variable Elimination (Exact Inference)
🔁 Gibbs Sampling (Approximate Inference)
❌ Rejection Sampling (Approximate Inference)
💡 We analyze each option in detail:
(A) Is Variable Elimination approximate?
(B) Is Gibbs Sampling exact?
(C) How does Variable Elimination compute conditional probabilities?
(D) Is Rejection Sampling an approximate method?
📚 Topics Covered:
Exact vs Approximate Inference
Role of Variable Elimination
Sampling-based Inference Methods
GATE-level explanation with reasoning
🧠 Perfect for GATE Data Science, GATE CSE, UGC NET, and AI/ML enthusiasts!
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