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Title: GitHub - macauandy/Machine-Learning-Notes: 周志华《机器学习》手推笔记 · GitHub

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X Title: GitHub - macauandy/Machine-Learning-Notes: 周志华《机器学习》手推笔记

Description: 周志华《机器学习》手推笔记. Contribute to macauandy/Machine-Learning-Notes development by creating an account on GitHub.

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	https://github.com/macauandy/Machine-Learning-Notes#machine-learning-notes加载图片较慢请耐心等待只显示一部分
	https://github.com/macauandy/Machine-Learning-Notes#by-计算机视觉联盟-王博kingssophia
	https://github.com/macauandy/Machine-Learning-Notes#手推笔记已经--164页-a4纸可直接打印-
	https://github.com/macauandy/Machine-Learning-Notes#计算机视觉联盟回复西瓜书手推笔记即可获得百度云pdf下载链接
	https://github.com/macauandy/Machine-Learning-Notes#update-log
	https://github.com/macauandy/Machine-Learning-Notes#table-of-contents
第一章绪论	https://github.com/Sophia-11/Machine-Learning-Notes/
第二章模型评估与选择	https://github.com/Sophia-11/Machine-Learning-Notes/
第三章线性模型	https://github.com/Sophia-11/Machine-Learning-Notes/
第四章决策树	https://github.com/Sophia-11/Machine-Learning-Notes/
第五章神经网络	https://github.com/Sophia-11/Machine-Learning-Notes/
第六章支持向量机	https://github.com/Sophia-11/Machine-Learning-Notes/
第七章贝叶斯分类器	https://github.com/Sophia-11/Machine-Learning-Notes/
第八章集成信息	https://github.com/Sophia-11/Machine-Learning-Notes/
第九章聚类	https://github.com/Sophia-11/Machine-Learning-Notes/
第十章降维与度量学习	https://github.com/Sophia-11/Machine-Learning-Notes/
第十一章特征选择与稀疏学习	https://github.com/Sophia-11/Machine-Learning-Notes/
第十二章计算学习理论	https://github.com/Sophia-11/Machine-Learning-Notes/
第十三章半监督学习	https://github.com/Sophia-11/Machine-Learning-Notes/
第十四章概率图模型	https://github.com/Sophia-11/Machine-Learning-Notes/
第十五章规则学习	https://github.com/Sophia-11/Machine-Learning-Notes/
第十六章强化学习	https://github.com/Sophia-11/Machine-Learning-Notes/
	https://github.com/macauandy/Machine-Learning-Notes#手推笔记作者简介--王博kings
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	https://github.com/macauandy/Machine-Learning-Notes#数学符号
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	https://github.com/macauandy/Machine-Learning-Notes#第三章--线性模型
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	https://github.com/macauandy/Machine-Learning-Notes#第四章---决策树
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	https://github.com/macauandy/Machine-Learning-Notes#第五章---神经网络
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	https://github.com/macauandy/Machine-Learning-Notes#第六章---支持向量机
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	https://github.com/macauandy/Machine-Learning-Notes#第七章----贝叶斯分类器
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	https://github.com/macauandy/Machine-Learning-Notes#第八章---集成信息
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	https://github.com/macauandy/Machine-Learning-Notes#第九章---聚类
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	https://github.com/macauandy/Machine-Learning-Notes#第十章--降维与度量学习
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