A Few Useful Things to Know about Machine Learning
閱讀須知：本文爲 Pedro Domingos論文《A Few Useful Things to Know about Machine Learning》的筆記。論文以分類爲例，講述機器學習的12個實踐技巧。要求閱讀者有一定機器學習的基礎知識和實踐經驗。 1. Learning = Representation + Evaluation + Optimization（學習=表示（或
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相關文章
- 1. 閱讀筆記：A Few useful things to Know About machine Learning
- 2. 《A Few useful things to Know About machine Learning》讀後感
- 3. 關於機器學習必需要了解的幾個要點（A Few Useful Things to Know about Machine Learning）
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- 5. 5 Things To Know About The IoT Platform Ecosystem
- 6. Android Things and Machine Learning
- 7. Ten things I didn't know about MongoDB
- 8. A Gentle Guide to Machine Learning
- 9. The 9 Deep Learning Papers You Need To Know About
- 10. A Tour of Machine Learning Algorithms