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A set of top Computer Science blogs

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Re: A set of top Computer Science blogs

#12
I must be an idiot. It took me a few Google searches and finally stumbling on it by accident to figure out how to subscribe to the RSS feed for Serious Engineering's dynamic Blogger blog, since the "Subscribe to this page..." option isn't available. In case you too struggle, there's a pop-out menu on the right.

And now back to ramming crayons up my nose.

Re: A set of top Computer Science blogs

#13

I must be an idiot. It took me a few Google searches and finally stumbling on it by accident to figure out how to subscribe to the RSS feed for Serious Engineering's dynamic Blogger blog, since the "Subscribe to this page..." option isn't available. In case you too struggle, there's a pop-out menu on the right. And now back to ramming crayons up my nose.

Many RSS readers these days are pretty good at feed discovery if you just give them the blog URL. At least, both Google Reader and Newsblur (http://www.newsblur.com) seem to be able to dig up a feed for anything I've thrown at them.

Re: A set of top Computer Science blogs

#16
The "How I did it"[0] section of Kaggle's "No Free Hunch" blog is really great for getting practical insights into solving machine learning problems. All the posts are short, and unless you're an expert in ML, will likely give you leads all a lot of new material to learn. The pragmatic bent is what really makes it such an excellent resource, there's a huge gap between the mathematical foundations of ML and the solving real world problems side of it.

0. http://blog.kaggle.com/category/how-i-did-it/

Re: A set of top Computer Science blogs

#17

For anybody looking to overdose on CS topics, you might also enjoy: http://www.reddit.com/r/compsci/ and http://www.reddit.com/r/compscipapers Also, http://machinelearning.reddit.com and http://semanticweb.reddit.com feature some high quality links and discussion that many HN'ers might find of interest.

Unfortunately I would recommend against all of these (except /r/compscipapers, only because I've never checked it out).

/r/compsci is, in my experience, mostly lower level undergrads who really want to show how much they know, there's a lot of misinformation in comments that gets voted up, and a lot of missing nuance in any of the discussions.

/r/semanticweb is very inactive, almost no discussion

/r/machinelearning is pretty poor as well, better choices are http://metaoptimize.com/qa http://blog.kaggle.com/category/how-i-did-it/ and following ml topics on quora

Re: A set of top Computer Science blogs

#19

For anybody looking to overdose on CS topics, you might also enjoy: http://www.reddit.com/r/compsci/ and http://www.reddit.com/r/compscipapers Also, http://machinelearning.reddit.com and http://semanticweb.reddit.com feature some high quality links and discussion that many HN'ers might find of interest.

Unfortunately I would recommend against all of these (except /r/compscipapers, only because I've never checked it out). /r/compsci is, in my experience, mostly lower level undergrads who really want to show how much they know, there's a lot of misinformation in comments that gets voted up, and a lot of missing nuance in any of the discussions. /r/semanticweb is very inactive, almost no discussion /r/machinelearning i…

The value there, IMO, is more the links than the discussion. It's not so much like HN, where the discussion itself is half (or more) of the value. But, for a quick, concise list of new links in those fields, I find those Reddits all very valuable.

better choices are http://metaoptimize.com/qa http://blog.kaggle.com/category/how-i-did-it/ and following ml topics on quora

Yes, those are excellent sites as well. There are also some good StackExchange sites that can help one get their fill of CS'y topics.

Re: A set of top Computer Science blogs

#20
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