Added books for business and semi­-technical perspective

README.md

@@ -28,7 +28,8 @@ Please, feel free to make any contributions you feel will make it better.
 - [Machine learning is fun](#machine-learning-is-fun)
 - [Machine learning: an in-depth, non-technical guide](#machine-learning-an-in-depth-non-technical-guide)
 - [Stories and experiences](#stories-and-experiences)
-- [Books](#books)
+- [Beginner Books](#beginner-books)
+- [Practical Books](#practical-books)
 - [Kaggle knowledge competitions](#kaggle-knowledge-competitions)
 - [Video](#video)
 - [MOOC](#mooc)
@@ -135,7 +136,12 @@ Each day I take one subject from the list below, read it cover to cover, take no
 - [ ] [Machine Learning in a Year](https://medium.com/learning-new-stuff/machine-learning-in-a-year-cdb0b0ebd29c#.hhcb9fxk1)
 - [ ] [Learning Path : Your mentor to become a machine learning expert](https://www.analyticsvidhya.com/learning-path-learn-machine-learning/)
 
-## Books
+## Beginner Books
+- [ ] [Data Smart: Using Data Science to Transform Information into Insight 1st Edition](https://www.amazon.com/Data-Smart-Science-Transform-Information/dp/111866146X)
+- [ ] [Data Science for Business: What you need to know about data mining and data­ analytic-thinking](https://www.amazon.com/Data-Science-Business-Data-Analytic-Thinking/dp/1449361323/)
+- [ ] [Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die](https://www.amazon.com/Predictive-Analytics-Power-Predict-Click/dp/1118356853)
+
+## Practical Books
 - [ ] [Machine Learning for Hackers](https://www.amazon.com/Machine-Learning-Hackers-Drew-Conway/dp/1449303714)
 - [ ] [Python Machine Learning](https://www.amazon.com/Python-Machine-Learning-Sebastian-Raschka-ebook/dp/B00YSILNL0)
 - [ ] [Programming Collective Intelligence: Building Smart Web 2.0 Applications](https://www.amazon.com/Programming-Collective-Intelligence-Building-Applications-ebook/dp/B00F8QDZWG)