Machine Learning Feed Updates II

I’ve added a few more research blogs.

Taken from Mark Reid’s kith:

• aicoder by Neal Richter
• vetta project by Shane Legg
• natural language processing blog by Hal Daume III
• Justin Domke’s Weblog
• Data Mining: Text Mining, Visualization and Social Media by Matthew Hurst

More additions:

• Machine Learning for Computer Security by my colleague Konrad Rieck
• oliviergrisel.name by Olivier Grisel (although he said he wanted to update everything about it in a long time)
• Statistical Modeling, Causal Inference, and Social Science by Andrew Gelman (quite high volume, by the way)
• mloss.org Community blog blog for mloss.org on ML software and open source
• AI and Social Science by Brendan O’Connor

I should probably collect all the entries somewhere… .

Again, in case you missed it, the feeds can be found in this post.

Machine Learning Feed (Update)

I’ve set up two more (sub-)feeds now, one for blogs by ML researchers, and one for the papers. You can also have the full feed if you want. The reason for this split is that the preprint and journal feeds have a much higher volume and will drown the actual blog posts.

So here are all your Machine Learning Feed options:

Feed	Google Reader	Feedburner
Full	Atom Feed Web View	http://feeds.feedburner.com/mlfeed
Only blogs	Atom Feed Web View	http://feeds.feedburner.com/mlfeed-blogs
Only Papers	Atom Feed Web View	http://feeds.feedburner.com/mlfeed-papers

Again, if you have any suggestions/comments, please let me know. I think it would be great if we could collect all the interesting people from our community.

In that spirit, I’ve added mlsec.org, a blog on machine learning and computer security by my colleague Konrad Rieck.

Machine Learning Feeds and Twitterers

I’ve collected some information about machine learning people on twitter and machine learning blog’s.

Twitter

• 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!

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.