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README.md

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@@ -42,6 +42,7 @@ If you want to contribute to this list, please read [Contributing Guidelines](ht
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- [Bayesian Machine Learning](#bayes)
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- [Semi Supervised Learning](#semi)
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- [Optimizations](#opt)
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- [Other Useful Tutorials](#other)
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<a name="general" />
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##Miscellaneous
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- [Optimization Algorithms in Support Vector Machines](http://pages.cs.wisc.edu/~swright/talks/sjw-complearning.pdf)
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- [The Interplay of Optimization and Machine Learning Research](http://jmlr.org/papers/volume7/MLOPT-intro06a/MLOPT-intro06a.pdf)
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For a collection of Data Science Tutorials, refer to [this list which uses R](https://github.com/ujjwalkarn/DataScienceR) and [this list which uses Python](https://github.com/ujjwalkarn/DataSciencePython).
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<a name="other" />
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##Other Tutorials
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- For a collection of Data Science Tutorials using R, please refer to [this list](https://github.com/ujjwalkarn/DataScienceR).

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