I have always enjoyed reading this guy's blog-definitely worth a look. At least from the posts i've looked at, the blog's primary themes are: (i) Machine Learning, with emphasis on concise explanation of the key components, nearly always supported by reference to the key equations and simple clear graphics; and (ii) Distributed Processing in the context of BI Infrastructure. I haven't read any posts in the latter category.
Straightforward explanation of the the key concepts of many of the major ML rubrics by someone who clearly has a strong grasp of those concepts himself, without diluting or "dumbing down" the content, but rather relying on simple clear graphics to illustrate the subject matter--is always worth reading, no matter how many times i have read the same content from other sources. Clear explanations always give me a fresh perspective.
Straightforward explanation of the the key concepts of many of the major ML rubrics by someone who clearly has a strong grasp of those concepts himself, without diluting or "dumbing down" the content, but rather relying on simple clear graphics to illustrate the subject matter--is always worth reading, no matter how many times i have read the same content from other sources. Clear explanations always give me a fresh perspective.