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2015-11-07 23:31:25 -05:00
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README.md
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@@ -100,6 +100,7 @@ Excerpts from the [Foreword](./docs/foreword_ro.pdf) and [Preface](./docs/prefac
- [What learning path/discipline in data science I should focus on?](./faq/data_science_career.md)
- [At what point should one start contributing to open source?](./open-source.md)
- [How important do you think having a mentor is to the learning process?](./mentor.md)
- [Where are the best online communities centered around data science/machine learning or python?](./ml-python-communities.md)
## Contact
faq/README.md
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- [What learning path/discipline in data science I should focus on?](./data_science_career.md)
- [At what point should one start contributing to open source?](./faq/open-source.md)
- [How important do you think having a mentor is to the learning process?](./faq/mentor.md)
- [Where are the best online communities centered around data science/machine learning or python?](./faq/ml-python-communities.md)
faq/ml-python-communities.md
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# Where are the best online communities centered around data science/machine learning or python?
I think [Twitter](https://twitter.com/rasbt) is great to stay in touch and see what other people are up to, and to share news of course. [Cross-validated](http://stats.stackexchange.com) & [Quora](https://www.quora.com/topic/Machine-Learning) are good websites to ask specific questions and collect multiple opinions about a topic. There's also a [machine learning group on Google+](https://plus.google.com/communities/107785538899595981479) that has a lot of members, but is not that active anymore I fear. The [MachineLearning subreddit](https://www.reddit.com/r/MachineLearning/) is another nice place to discuss certain news and articles.