Lec 4: Combination | Counting | Probability & Statistics | GATE DA | Jay Bansal | The ML Hub
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Welcome to Lecture 4 of the Probability & Statistics series for GATE Data Science & AI (GATE DA)! 🚀 In this session, we explore Combinations, a crucial concept in combinatorics that helps in solving selection-based problems efficiently.
📖 Topics Covered:
✅ Definition of Combination
✅ Proof of nCr
✅ Combinations as recurrence
✅ k-selection and k-rejections
✅ GATE-Level Solved Examples & Applications
✅ Difference between Permutation & Combination
👨🏫 Instructor: Jay Bansal (GATE CS AIR-2, GATE DA AIR-6)
Mastering combinations is essential for probability, statistics, and real-world problem-solving in GATE DA.
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