Dimensionality reduction via Principle Component Analysis in python on face images

Hey there! It’s been a while since I wrote anything other than stuff about travel (oh, don’t you worry, there’s still more of that coming!), so it feels good to write about something like this.

Right now, I’m almost finished with the Andrew Ng Machine Learning course on Coursera. Maybe I’ll write about it sometime, but it’s really, really solid and I’m learning a lot. He’s pretty great at explaining concepts and the course is constructed pretty well. What I really like is that, for the assignments, he’ll take the concept from that week and demonstrate a really interesting application of it (even if it’s a little contrived and may not actually be a practical use for it). Either way, it just gets me to think about the breadth of what this stuff can be applied to. read more

Getting back on the horse…er, Python

As of this writing, I just defended and I’m considering various options for what I’ll do next. That’s a whole other story, but the important part for this post is that, probably for whatever I do, I’ll be coding.

I’ve coded a decent amount in my life. I started with dinky web stuff wayyy back, then picked up a now-tattered and probably outdated “C++ for Dummies” book in highschool. I did small programs with that, as well as some silly things for crappy AVR projects I did. In college, I used mostly Java because that’s what the computer science classes I took asked for. Towards the end of college, though, I was working on my own research, and used C++ instead (why? I honestly don’t remember. Wait, I just did! My advisor had heard of some multiprocessor module for C++ that he wanted me to try, so that’s why I didn’t stick with Java). read more