参考书目:
教材: 周志华. 机器学习. 清华大学出版社, 2016. 李航. 统计学习方法. 清华大学出版社, 2012. 参考书: Bishop C. M. Pattern recognition and machine learning. New York: springer, 2006. Tom M. Mitchell, Machine Learning, McGraw Hill, 1997 必读参考资料: 1.线性回归:http://cs229.stanford.edu/notes/cs229-notes1.pdf 2. 支持向量机: http://cs229.stanford.edu/notes/cs229-notes3.pdf http://blog.pluskid.org/?page_id=683 http://ntu.csie.org/~piaip/svm/svm_tutorial.html 3. 朴素贝叶斯: http://cs229.stanford.edu/notes/cs229-notes2.pdf 4. EM算法: http://cs229.stanford.edu/notes/cs229-notes8.pdf http://www.cs.columbia.edu/~mcollins/em.pdf 5. 高斯混合模型 http://cs229.stanford.edu/notes/cs229-notes7a.pdf http://cs229.stanford.edu/notes/cs229-notes7b.pdf http://home.in.tum.de/~xiaoh/pub/em.pdf Bishop 《Pattern recognition and machine learning》第9章
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