我的所有电子书（不断更新）

1. 10 easy ways to fail a Ph.D..pdf
2. 27篇python小片段文章.pdf
3. 3 qualities of successful Ph.D. students Perseverance, tenacity and cogency.pdf
4. 51CTO下载-python标准库.pdf
5. a byte of vim.pdf
6. A Course in Machine Learning.pdf
7. advanced-linux-programming.pdf
8. Algorithms and Data Structures.pdf
9. Algorithms.pdf
10. An Introduction to Pattern Recognition A Matlab Approach 2010.pdf
11. Building.Machine.Learning.Systems.with.Python.pdf
12. C++Primer3rdEdition中文完美版.pdf
13. caffe.pdf
14. cikmTutorialAll.pdf
15. Computer Vision Models, Learning, and Inference.pdf
16. construct_smts.pdf
17. CRA-W New Grad Brochure 2010.pdf
18. Data Mining and Analysis Fundamental Concepts and Algorithms.pdf
19. dive into python
20. Element_Of_Information_Theory.pdf
21. Experiences and Lessons in Developing Machine Learning and Data Mining Software.pdf
22. fisher线性判别.docx
23. gss2013_11324.pdf
24. handbook.pdf
25. hash.pdf
26. history of logic.pdf
27. How read a paper.pdf
28. how to be a good graduate student.pdf
29. how to be a successful phd student.pdf
30. How to send and reply to email.pdf
31. how to succeed in graduate school.pdf
32. HowtoBeaSuccessfulPhDStudent.pdf
33. Introduction to Machine Learning.pdf
34. Java application development on linux.pdf
35. LaTeX新人教程，30分钟从完全陌生到基本入门.txt
36. Learn You a Haskell for Great Good.pdf
37. Logic in Computer Science.pdf
38. Lucene 3.0 原理与代码分析完整版.pdf
39. Lucene 实战 第二版_最新.pdf
40. Machine Learning - Tom Mitchell.pdf
41. Machine Learning by Tom Mitchell
42. MachineLearningResourceGuide.pdf
43. Natural.Language.Processing.with.Python.pdf
44. Neural Networks A Comprehensive Foundation.pdf
45. niscode-1_0.zip
46. nis_preprintFeb2009.pdf
47. Notebooks of the Mind- Explorations of Thinking.pdf
48. paper reading.pdf
49. Pattern Recognition and Machine Learning.pdf
50. Pattern Recognition.An Algorithmic Approach.2011.pdf
51. Pattern.Recognition.pdf
52. Perl语言参考手册（中文html）
53. Perl语言实战（民间传播版）.pdf
54. Presentation_of_ListMLE_读书会第8期.ppt
55. Python学习手册_附录.pdf
56. Python核心编程.pdf
57. Python科学计算.pdf
58. rome2013.pdf
59. Rota-Baclawski-Prob-Theory-79.pdf
60. Scaling up Machine Learning.pdf
61. scikit.pdf
62. searching.pdf
63. SIGIR Paper Writing Tips - Microsoft Research.pdf
64. start_research.pdf
65. Statistical.Pattern.Recognition,.Andrew.R..Webb,.Keith.D..Copsey,.3ed,.Wiley,.2011.pdf
66. SVR.pdf
67. The Elements of Style_1918.pdf
68. The Signal and the Noise.pdf
69. thelinuxplatfirm.pdf
70. thinkCSpy.pdf
71. tutorial_deep_learning_YuKai.pdf
72. TwitterDataAnalytics.pdf
73. uai13.pdf
74. Whitesides writing res paper.pdf
75. wright-kdd-2013.pdf
76. Writing for Computer Science_2005_2Ed.pdf
77. [Python应用核心编程(第3版)].(Core.Python.Applications.Programming).Wesley.Chun.文字版.pdf
78. [Python核心编程.(第二版)英文原版].Core.Python.Programming,2nd.Edition.pdf
79. 三国人物古今谈_11136862.pdf
80. 东线：1941-1945.pdf
81. 中文信息处理基础-詹卫东
82. 主题模型by_szy.pdf
83. 人工神经网络实用教程.杨建刚.浙江大学出版社.pdf
84. 十五个经典算法研究与总结.pdf
85. 学术研究，你的成功之道.pdf
86. 搜索表单制作语法说明.pdf
87. 数据挖掘导论.pdf
88. 数理统计学简史.pdf
89. 文本上的算法.pdf
90. 新版Python学习手册.pdf
91. 机器学习(清晰).pdf
92. 机器翻译参考书BOOK-SMT.pdf
93. 模式识别与智能计算-matlab技术实现.pdf
94. 模式识别基础_张学工
95. 泛函分析讲义.pdf
96. 浪潮之巅1-18.pdf
97. 深入理解 C & C++_Olve Maudal & Jon Jagger.pdf
98. 移动浪潮.pdf
99. 算法之道.pdf
100. 纳尔逊传.pdf
101. 结构化预测在NLP的应用.pdf
102. 统计学的世界.pdf
103. 统计自然语言处理-刘挺
104. 统计自然语言处理基础(中文版).pdf
105. 编译器设计基础_torbenm.pdf
106. 自然语言理解-宗成庆
107. 计算语言学概论_11355992.pdf
108. 贝叶斯分类
109. 跟我一起写Makefile.pdf
110. 高效能人士的七个习惯.pdf
111. 高级文本挖掘理论及其应用_InTech
112. 鸟哥私房菜（全）.pdf