One of the blogs-style websites I admire most is that of John Baez,
an amazing theoretical physicist who manages to write, more or less
every week, an in-depth introduction to some very advanced topic of
theoretical physics/mathematics. Not only his scientific culture is
impressive, but he also has the ability of explaining tough things in a
simple way. The variety and technical level of the topics he covers is
If I could produce on my own blog something close to one tenth of the content he produces, I would be extremely satisfied.
Another great blog is the one of John Langford which deals with Machine Learning theory. His productivity is also quite impressive.
I also closely watch the links posted on del.icio.us Machine Learning, it is a nice way of keeping up to date with the information hidden in the web about Machine Learning.
A more corporate source of information is the Google news alert feature: I entered the "Machine Learning" keyword, and I am receiving every day a list of news items on this topic. This allows to monitor the growth of the field in the corporate world, and let me just say that it is really taking off.
A great way of monitoring simultaneously several sources of information is Bloglines. This site allows you to create an account in order to watch RSS feeds. You can have a quick view of which of the sites you watch have been updated since you last read them. This is extremely convenient.