Algorithms Explained: Computational Complexity
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YouTubeDataDaft
Algorithms Explained: Computational Complexity
An overview of computational complexity including the basics of big O notation and common time complexities with examples of each. Understanding computational complexity is vital to understanding algorithms and why certain constructions or implementations are better than others. Even if you don't implement algorithms yourself, an understanding ...
29.9K viewsMar 12, 2021
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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
🔥🚀 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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Lecture 23: Computational Complexity | Introduction to Algorithms | Electrical Engineering and Computer Science | MIT OpenCourseWare
Lecture 23: Computational Complexity | Introduction to Algorithms | Electrical Engineering and Computer Science | MIT OpenCourseWare
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