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57:15
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Coderbyte
The Complete Guide to Big O Notation & Complexity Analysis for Algorithms: Part 2 of 2
In part 2 of our Guide to Big O Notation, we do a detailed walkthrough of the 7 common complexity Big O classes, explore how to analyze the complexity of functions with multiple inputs, and analyze the complexity of recursive functions. In this video: 0:30 - Learning Objectives 1:00 - Constant: O(1) 5:49 - Logarithmic: O(log(n)) 12:55 - Linear ...
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🔥🚀 ALGORITHM COMPLEXITY CHEAT SHEET: Your ML Speed Guide! ⚡ Ever wondered why your Random Forest trains faster than SVM? Or why kNN has ZERO training time? 🤔 Here's the ultimate complexity breakdown! 📊 🔥 ALGORITHM COMPLEXITIES: 🏃♂️ FAST TRAINERS: • kNN: O(1) training - literally NO training needed! • Naive Bayes: O(n×m×c) - probabilistic powerhouse • Linear Regression: O(nm² m³) - classic and efficient ⚡ MODERATE COMPLEXITY: • Decision Trees: O(n log(n)×m) - interpretable beauty • Random
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