Added "Machine Learning: Hands-On for Developers and Technical Professionals"

README.md

@@ -216,6 +216,9 @@ Each day I take one subject from the list below, read it cover to cover, take no
 	- [GitHub repository](https://github.com/gmonce/scikit-learn-book)
 - [ ] [Probabilistic Programming & Bayesian Methods for Hackers](https://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/)
 - [ ] [Probabilistic Graphical Models: Principles and Techniques](https://www.amazon.com/Probabilistic-Graphical-Models-Principles-Computation/dp/0262013193)
+- [ ] [Machine Learning: Hands-On for Developers and Technical Professionals](https://www.amazon.com/Machine-Learning-Hands-Developers-Professionals/dp/1118889061)
+	- [Machine Learning Hands-On for Developers and Technical Professionals review](https://blogs.msdn.microsoft.com/querysimon/2015/01/01/book-review-machine-learning-hands-on-for-developers-and-technical-professionals/)
+	- [GitHub repository](https://github.com/jasebell/mlbook)
 
 ## Kaggle knowledge competitions
 - [ ] [Kaggle Competitions: How and where to begin?](https://www.analyticsvidhya.com/blog/2015/06/start-journey-kaggle/)