Added "Machine Learning for Developers"

README.md

@@ -109,7 +109,7 @@ Each day I take one subject from the list below, read it cover to cover, take no
 ## Machine learning overview
 - [ ] [A Visual Introduction to Machine Learning](http://www.r2d3.us/visual-intro-to-machine-learning-part-1/)
 - [ ] [A Gentle Guide to Machine Learning](https://blog.monkeylearn.com/a-gentle-guide-to-machine-learning/)
-- [ ] [Machine Learning basics for a newbie] (https://www.analyticsvidhya.com/blog/2015/06/machine-learning-basics/)
+- [ ] [Machine Learning basics for a newbie](https://www.analyticsvidhya.com/blog/2015/06/machine-learning-basics/)
 
 ## Machine learning mastery
 - [ ] [The Machine Learning Mastery Method](http://machinelearningmastery.com/machine-learning-mastery-method/)
@@ -163,6 +163,9 @@ Each day I take one subject from the list below, read it cover to cover, take no
 - [ ] [Coursera’s Machine Learning](https://www.coursera.org/learn/machine-learning)
     - [Video only](https://www.youtube.com/playlist?list=PLZ9qNFMHZ-A4rycgrgOYma6zxF4BZGGPW)
 
+## Resources
+- [ ] [Machine Learning for Developers](https://xyclade.github.io/MachineLearning/) 
+
 ## Becoming an Open Source Contributor
 - [ ] [tensorflow/magenta: Magenta: Music and Art Generation with Machine Intelligence](https://github.com/tensorflow/magenta)
 - [ ] [tensorflow/tensorflow: Computation using data flow graphs for scalable machine learning](https://github.com/tensorflow/tensorflow)