update readme

Author: xxg1413

README.md

@@ -21,18 +21,18 @@
 
 
 ##Book Note
-- [Building Machine Learning Systems](./Building Machine Learning Systems/)
-- [Learning Data Mining with Python](./Learning Data Mining with Python/)
-- [Machine Learning in Action](./Machine Learning in Action/)
-- [NumPy Beginner's Guide](./NumPy Beginner's Guide/)
-- [Programming Collective Intelligence](./Programming Collective Intelligence/)
-- [R for Everyone](./R for Everyone/)
-- [Web Scraping with Python](./Web Scraping with Python/)
-- [Learning Spark: Lightning-fast Data Analysis](./Learning Spark/)
+- [Building Machine Learning Systems](./MachineLearning/Building Machine Learning Systems/)
+- [Learning Data Mining with Python](./MachineLearning/Learning Data Mining with Python/)
+- [Machine Learning in Action](./MachineLearning/Machine Learning in Action/)
+- [NumPy Beginner's Guide](./MachineLearning/NumPy Beginner's Guide/)
+- [Programming Collective Intelligence](./MachineLearning/Programming Collective Intelligence/)
+- [R for Everyone](./MachineLearning/R for Everyone/)
+- [Web Scraping with Python](./MachineLearning/Web Scraping with Python/)
+- [Learning Spark: Lightning-fast Data Analysis](./MachineLearning/Learning Spark/)
 
 ##Competitions
-- [Kaggle](./Kaggle/)
-- [Euler](./Euler/)
+- [Kaggle](./MachineLearning/Kaggle/)
+- [Euler](./MachineLearning/Euler/)
 
 
 ##课程
@@ -51,25 +51,25 @@
 - [机器学习技法](https://github.com/xxg1413/coursera/tree/master/Machine%20Learning%20Techniques)
 
 ##读书
-- [机器学习系统设计](./Building Machine Learning Systems/)
-- [机器学习实战](./Machine Learning in Action/)
-- [Python数据分析基础教程:NumPy学习指南](./NumPy Beginner's Guide/)
-- [Python数据挖掘入门与实践](./Learning Data Mining with Python/)
-- [集体智慧编程](./Programming Collective Intelligence/)
-- [R语言-实用数据分析和可视化技术](./R for Everyone/)
-- [Python网络数据采集](./Web Scraping with Python/)
+- [机器学习系统设计](./MachineLearning/Building Machine Learning Systems/)
+- [机器学习实战](./MachineLearning.=/Machine Learning in Action/)
+- [Python数据分析基础教程:NumPy学习指南](./MachineLearning/NumPy Beginner's Guide/)
+- [Python数据挖掘入门与实践](./MachineLearning/Learning Data Mining with Python/)
+- [集体智慧编程](./MachineLearning/Programming Collective Intelligence/)
+- [R语言-实用数据分析和可视化技术](./MachineLearning/R for Everyone/)
+- [Python网络数据采集](./MachineLearning/Web Scraping with Python/)
 
 
 ##竞赛
-- [Kaggle练习题题解](./Kaggle/)
-- [Euler项目题解](./Euler/)
+- [Kaggle练习题题解](./MachineLearning/Kaggle/)
+- [Euler项目题解](./MachineLearning/Euler/)
 
 
 
 ##入门
-- [numpy](./numpy-tutorial/)
-- [pandas](./pandas-tutorial/)
-- [sklearn](./sklearn-turorial/)
+- [numpy](./MachineLearning/numpy-tutorial/)
+- [pandas](./MachineLearning/pandas-tutorial/)
+- [sklearn](./MachineLearning/sklearn-turorial/)
 - [tensorflow](https://github.com/xxg1413/Tensorflow/tree/master/tutorial)