1. 其它
   1. 可视化
      1. 子主题 1
      2. 图解决策树
      3. 子主题 3
      4. 30分钟学会ggplot2
   2. 子主题 2
2. 数据科学
   1. awesome-datascience
   2. datasciencemasters
   3. DataScienceResources
   4. notebook-tutorials
   5. Bios83660-notebook
   6. 子主题 6
3. R
   1. awesome-r
   2. DataScienceR
   3. data-wrangling
   4. ggplot2
   5. R参考卡片
   6. refcard-v2.pdf
   7. 子主题 3
   8. 在线
      1. R语言忍者秘笈
      2. R for datascience
   9. 纸质
   10. 子主题 5
   11. 子主题 6
   12. R语言会议
   13. Ruser conference
   14. 子主题 8
   15. 子主题 9
   16. onepager
   17. 如何清洗数据
4. Python
   1. awesome-python
   2. github-projects
   3. DataSciencePython
   4. python_reference
   5. scientific-python
   6. scipy-lectures
   7. pandas-tutorials
   8. pythonBook推荐
   9. PythonForDataScience
   10. PandasCheatSheet
   11. kaggle/titanic.ipynb
   12. analyses/churn.ipynb
   13. data-science-notebooks
5. 机器学习
   1. awesome-ML
   2. ML
   3. benchm-ml
   4. ICML
   5. NIPS
   6. KDD
   7. 机器学习入门书单
   8. useR-tutorial
   9. ML-Tutorials
   10. ML&pattern_classification
   11. DataScienceR#ML
   12. DataScienceResources#ML
   13. ML&pattern_classification
   14. magenta
   15. Machine-Learning
6. 计算机视觉
   1. awesome-CV
   2. benchmark
   3. CVPR
   4. ICCV
   5. ECCV
   6. opencv-tutroals
   7. 计算机视觉数据集不完全汇总
7. 自然语言处理
   1. crossroads
      1. 标注
   2. stanford.edu
   3. 知乎：NLP学习路线
   4. Natural-Language-Processing
   5. NLP书单
   6. awesome-nlp
   7. DataScienceR#nlp
   8. aclweb
8. 深度学习
   1. deeplearning
   2. tensorflow_tutorials
   3. TensorFlow-Tutorials
   4. tensorflow-tutorial
   5. TensorFlow-Tutorials
   6. Papers-Reading-Roadmap
   7. awesome-deep-learning
   8. DataScienceResources#DL
9. 数学统计
   1. datasciencemasters#math
   2. DataScienceR#statistics
   3. probability_cheatsheet
   4. Probabilistic-Programming-and-Bayesian-Methods
10. 数据库
    1. mysql_pdf