Black Box Machine Learning学习笔记
本文为Bloomberg的第一课，是100天机器学习挑战的Day15学习内容。 100天机器学习挑战汇总文章链接在这儿。 目录 1 ML 1.1 什么是ML 1.2 ML问题分类 2 Elements of the ML Pipeline 3 Evaluating a Prediction Function——损失函数 4 Other Sources of Test ≠ Deployment 4.
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相关文章
- 1. Practical Black-Box Attacks against Machine Learning
- 2. Practical Black-Box Attacks against Machine Learning 阅读笔记
- 3. [paper]Practical Black-Box Attacks against Machine Learning
- 4. Machine Learning 学习笔记
- 5. 【学习笔记】Hands On Machine Learning - Chap3. Classification
- 6. 【学习笔记】Hands On Machine Learning - Chap2. End-to-End Machine Learning Project
- 7. Python Machine Learning Chapter 2 Training Machine Learning Algorithms for Classification 学习笔记
- 8. 学习笔记-Large scale machine learning
- 9. Machine Learning 机器学习笔记
- 10. 【Machine Learning notes（机器学习笔记-001）】