Reproducing: No Free Lunch Theorems for Optimization
Towards AI
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Machine Learning
AI Research
Understanding Why There’s no Universally Best Algorithm Photo by Deon Black on Unsplash The Big Idea There is no universally best algorithm - every algorithm that excels at some problems must necessarily fail at others, unless you make assumptions about what kinds of problems actually matter. Overview This post is part of a different style of writing I am experimenting with: exploring, reproducing, and deeply understanding foundational papers in artificial intelligence and machine learning, along with their implications for the trajectory of the field.