摘要:
Pedro Domingos教授在其著名的文章《A Few Useful Things to Know about Machine Learning》中提到以下内容:1. LEARNING = REPRESENTATION + EVALUATION + OPTIMIZATION2. IT’S GENERALIZATION THAT COUNTS3. DATA ALONE IS NOT ENOUGH4. OVERFITTING HAS MANY FACES5. INTUITION FAILS IN HIGH DIMENSIONS6. THEORETICAL GUARANTEES ARE NOT 阅读全文
posted @ 2013-04-04 06:09
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