@ -20,6 +20,7 @@ Translations: [Brazilian Portuguese](https://github.com/ZuzooVn/machine-learning
- [Machine learning: an in-depth, non-technical guide ](#machine-learning-an-in-depth-non-technical-guide )
- [Stories and experiences ](#stories-and-experiences )
- [Machine Learning Algorithms ](#machine-learning-algorithms )
- [Deep Learning Resources ](#Deep-Learning-Resources )
- [Beginner Books ](#beginner-books )
- [Practical Books ](#practical-books )
- [Kaggle knowledge competitions ](#kaggle-knowledge-competitions )
@ -129,8 +130,10 @@ This short section were prerequisites/interesting info I wanted to learn before
- [ ] [The 10 Algorithms Machine Learning Engineers Need to Know ](https://gab41.lab41.org/the-10-algorithms-machine-learning-engineers-need-to-know-f4bb63f5b2fa#.ofc7t2965 )
- [ ] [Comparing supervised learning algorithms ](http://www.dataschool.io/comparing-supervised-learning-algorithms/ )
## Neural Networks for NLP
## Deep Learning Resources
- [ ] [i am trask ](http://iamtrask.github.io )
- [ ] [Awesome Deep Learning Papers ](https://github.com/terryum/awesome-deep-learning-papers )
## 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 )