What is an Algorithm? Types, Applications, and Characteristics | Analytics Steps
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What is an Algorithm? Types, Applications, and Characteristics | Analytics Steps
An algorithm is a set of instructions constructed to accomplish a particular task, explaining types, applications and characteristics of an algorithm.
Jun 2, 2021
Algorithm Complexity Explained
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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
0:07
🔥🚀 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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