Thought I’d share a cool paper I came across this week. Fast Covariance Computation and Dimensionality Reduction for Sub-Window Features in Images.

Summary:

Trick to speed up calculation of covariance matrix of features when your features come from a sliding windows over a signal (image). Trick takes advantage of redundant information between windows and [...]

Found this link, “Unix as an IDE” which covers various development tools available to you in unix. There’s some  neat little tricks I didn’t know about :

Use the `ltrace` and `strace` commands to view system and library calls a process makes. You can use this to debug linking errors. Use the `lsof` [...]

I love a good productivity post: “Are You a Zen Coder or Distraction-Junkie”

What I take out of it:

Try and work in concentrated spurts (1hr to 2hrs) with 20 or 30 minute breaks in between. When you are stuck waiting for your build to finish, CLOSE THAT BROWSER! Stare out the window [...]

I came across this post on StackOverflow about the most useful R tricks people know. I’m sure you can pick up a trick or two in here. Some of my favorites:

there are head() and tail() commands that operate on data frames. They work just like the *nix counterparts. making use of the with() [...]

How many do you know of?  List of 300 Major Algorithms from Scriptol.com

I’m been very interested in NoSQL technology lately and here’s another great post I came across:  The NoSQL movement. It characterizes NoSQL as a movement rather than a technology (very true). It’s a very good read in terms of getting across :

Why you would want to choose a NoSQL solution over a relational [...]

Forbes Magazine article discusses how companies can grow their own data scientists.

I wanted to post about a great book I came across, Data Analysis with Open Source Tools by Philipp K. Janert. This book has two great differences over the formal analysis texts out there. First the book focuses on the practical aspects of doing data analysis and solving problems, and it also contains [...]

The Stanford on-line AI and Machine Learning classes started last week. Andrew Ng’s machine learning class is especially interesting.  I’m taking the course because there’s always a few machine learning algorithms that I haven’t actually coded up even though I know about them. For example, in my years in grad school I never once [...]