材料(数据、电子书、补充讲义)
内容
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课程使用的数据集
已附加文件:- audit.csv (195.178 KB)
- car.csv (3.6 KB)
- computer.csv (453 B)
- golf.csv (364 B)
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电子书
已附加文件:- Classification and Regression Trees.pdf (5.894 MB)
- Deep Learning.pdf (68.713 MB)
- Foundations of Machine Learning 2nd.pdf (7.501 MB)
- Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow 2nd Edition-2019-英文版.pdf (31.531 MB)
- Pattern Recognition and Neural Networks (B.D.Ripley).pdf (47.747 MB)
- The Elements of Statisitcal Learning.pdf (12.687 MB)
- Understanding Machine Learning.pdf (2.481 MB)
- 机器学习-周志华.pdf (85.681 MB)
- 百面机器学习:算法工程师带你去面试.pdf (201.067 MB)
- 神经网络与深度学习.pdf (6.245 MB)
- 美团机器学习实践.pdf (99.694 MB)
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补充讲义
已附加文件:- lecturenotes.pdf (906.946 KB)
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作业与解答
已附加文件:- 作业与解答-python版.rar (1.68 MB)
- 作业与解答-R版.rar (794.31 KB)