《机器学习十大算法》 PDF书籍分享 英文版

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Contents
1.1 Introduction ..............................................................1
1.2 Algorithm Description ....................................................3
1.3 C4.5 Features .............................................................7
1.3.1 Tree Pruning ......................................................7
1.3.2 Improved Use of Continuous Attributes ............................8
1.3.3 Handling Missing Values ..........................................9
1.3.4 Inducing Rulesets ................................................ 10
1.4 Discussion on Available Software Implementations ...................... 10
1.5 Two Illustrative Examples ............................................... 11
1.5.1 Golf Dataset ..................................................... 11
1.5.2 Soybean Dataset ................................................. 12
1.6 Advanced Topics ........................................................ 13
1.6.1 Mining from Secondary Storage .................................. 13
1.6.2 Oblique Decision Trees .......................................... 13
1.6.3 Feature Selection ................................................ 13
1.6.4 Ensemble Methods .............................................. 14
1.6.5 Classification Rules .............................................. 14
1.6.6 Redescriptions ................................................... 15
1.7 Exercises ............................................................... 15
References ................................................................... 17  

patrickchen

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aicoa

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謝謝分享！

fool123

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lifengjz

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modaowuyan

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tracy6969

thanks