ml
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数学:矩阵分析,概率论,随机过程,统计学
理论计算机科学:优化计算(数学规划), 算法分析与设计
机器学习经典(综合):
Duda: Pattern Classification 2nd
Sergios: Pattern Recognition 4th
Tom: Machine Learning
Bishop: Pattern Recognition and Machine Learning
统计机器学习:
Vapnik: The Nature of Statistical Learning Theory 2nd
Statistical Learning Theory
Trevor: the elements of statistical learning data mining inference and prediction
数据挖掘:
Jiawei Han: Data Mining Concepts and Techniques 2nd (中译本:数据挖掘概念与技术)
Pang-NingTan: Introduction to Data Mining (中译本:数据挖掘导论)
入门:
Ethem:Introduction to Machine Learning(中译本:机器学习导论)
Nilson:Introducntion to Machine Learning
理论计算机科学:优化计算(数学规划), 算法分析与设计
机器学习经典(综合):
Duda: Pattern Classification 2nd
Sergios: Pattern Recognition 4th
Tom: Machine Learning
Bishop: Pattern Recognition and Machine Learning
统计机器学习:
Vapnik: The Nature of Statistical Learning Theory 2nd
Statistical Learning Theory
Trevor: the elements of statistical learning data mining inference and prediction
数据挖掘:
Jiawei Han: Data Mining Concepts and Techniques 2nd (中译本:数据挖掘概念与技术)
Pang-NingTan: Introduction to Data Mining (中译本:数据挖掘导论)
入门:
Ethem:Introduction to Machine Learning(中译本:机器学习导论)
Nilson:Introducntion to Machine Learning
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