Lec 3: Permutation | Counting | Probability & Statistics | GATE DA | Jay Bansal | The ML Hub
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Welcome to Lecture 3 of the Probability & Statistics series for GATE Data Science & AI (GATE DA)! 🚀 In this session, we dive into Permutations, a key concept in combinatorics essential for solving probability problems efficiently.
📖 Topics Covered:
✅ Definition & Concept of Permutations
✅ Derivation of nPr
✅ Permutations with & without Repetition
✅ GATE-Level Solved Examples & Applications
👨🏫 Instructor: Jay Bansal (GATE CS AIR-2, GATE DA AIR-6)
This lecture will help you build a strong foundation in counting techniques, making problem-solving easier for GATE DA.
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