I’ve collected some information about machine learning people on twitter and machine learning blog’s.
- Mark Reid has put together a nice list of ML twitterers.
- There exists a machine learning twibe, and a machine learning tlist.
Blogs
A few days ago, I thought that it would be very nice to have some kind of blog aggregator like planet debian for machine learning. After some poking around I found that the easiest way to aggregate and publish RSS feeds is actually through Google reader. Here is the resulting machine learning feed. Feel free to subscribe to it!
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Here is what is currently in there:
People/Websites/Companies:
- Induction ex machina by Mark Reid.
- Machine Learning (Theory) by John Langford.
- i2pi by Joshua Reich.
- Radford Neal’s blog (not updated in a while.)
- Marginally Interesting by myself (although it’s been a while since I last blogged about core-ML
;)
) - David R. MacIver’s blog.
- Machine Learning, etc. by Yaroslav Bulatov.
- Dataspora Blog by Dataspora LLC
- Data Wrangling by Pete Skomoroch.
Journals/Paper feeds:
- Journal of Machine Learning Research
- arXiv feed for Computer Science, Learning (cs.LG)
- arXiv feed for Statistics, Machine Learning (stat.ML)
If you have a suggestion of feeds to add, or want your feed removed for some reason, please let me know!
Update: I've set up two different feeds. You can either have the original Google reader feed, or the feedburner feed. The latter has more compact summaries, while the former might have a nicer web view.
More updates:I've put up different feeds for only blogs and only papers.
2 comments:
Here is a huge list of RSS feeds for ML journals!
http://yaroslavvb.blogspot.com/2005/03/machine-learning-journals.html
Hello Neal,
thanks for the link, I added PAMI, cs.IT, and the citeulike feeds for Neural Computation, Roy. Stat. Soc. A, and Machine Learning.
Not sure whether I'll really keep the citeulike feeds - no freely available content behind that... .
-M
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