Update CONTRIBUTING.md

CONTRIBUTING.md

@@ -30,4 +30,4 @@ We have assigned priorities to the items below. See priority guidance:
 | [TFGAN](https://github.com/tensorflow/models/blob/master/research/gan/tutorial.ipynb) | Define, Train and Evaluate GAN | GANs are of great interest currently | | | | | |
 | [Nested LSTM](https://github.com/hannw/nlstm) | TensorFlow implementation of nested LSTM cell | LSTM are the canonical implementation of RNN to solve vanishing gradient problem and widely used for Time Series | | | | | |
 | [How to solve 90% of NLP problems: A step by step guide on Medium](https://blog.insightdatascience.com/how-to-solve-90-of-nlp-problems-a-step-by-step-guide-fda605278e4e) | Medium post on how to solve 90% of NLP problems from Emmanuel Ameisen | Solves a really common problem in a generic way. Great example for people who want to do NLP and don't know how to do 80% of stuff like tokenzation, basic transforms, stop word removal etc and are boilerplate across every NLP task | | | | | |
-| [Tour of top-10 algorithms for ML newbies](https://towardsdatascience.com/a-tour-of-the-top-10-algorithms-for-machine-learning-newbies-dde4edffae11) | Top 10 algorithms for ML newbies | Medium post with 8K claps and a guide for ML newbies to get started with ML| | | | | |
+| [Tour of top-10 algorithms for ML newbies](https://towardsdatascience.com/a-tour-of-the-top-10-algorithms-for-machine-learning-newbies-dde4edffae11) | Top 10 algorithms for ML newbies | Medium post with 8K claps and a guide for ML newbies to get started with ML | | | | | |