Category Archives: Personal

What is up?!

Okay been a bit, what is new?! First it’s personal, then some pictures. For added effort, a couple links to some ‘Braindance’ and ‘micro house’ I would be caught listening to.

I’ve just completed my finals for an A.I. for Robotics class. Wow. It’s was a wonderful follow-up to my first class, Intro. to Artificial Intelligence. My brain has been stretched in good ways, and my Python programming chops are up.

It was fascinating to learn about what used to be a mysterious concept to me. I’m not sure how I’ll use my new found powers, but I’ll try and use them for good. Obama asked the nation to ‘get educated’ and I’m doing my part. Even better, both classes were free! If you have any interest in Computer Science (of which A.I. is part of) I suggest checking out UDACITY. It almost goes without saying but Khan Academy was part of these efforts.

Work – you gotta do it and I’ve been busy, working for Lowes while on duty at Mass Market apparently.

2 wide shots of garden carpet unrolling around 11 seconds in. Houdini, mantra, Nuke. Maya, Arnold.
http://youtu.be/iiFQTNJzWrU?hd=1

CG Sup. I got my hands all over this one, but the credit is certainly shared with my friends! Maya, Arnold, Nuke. Vray for door knobs.
http://youtu.be/YdHRPGcBOa8?hd=1

And just in case you’re not sure ‘what we did’.

Lastly, I can’t take any credit for the paint simulations (that was ILP), but I did the pre and post visualization. Don’t worry though, I’ll be getting my hands wet soon enough. Maya, Naiid, V-Ray, Nuke.

http://youtu.be/V0aPwhDDi7Y?hd=1

Now for some fuggin jams! This is typically the kinds of things I listen too while working. First some Braindance by Global Goon…

Then some ‘micro house’.
DJ more

More of the above here.

Bayes and the Lost AIMA Lisp

So I found myself surfing the tubes, looking for code examples of Bayes networks written in Lisp to compliment my recent studies for Stanford’s online ‘Introduction to Artificial Intelligence’ course… because that’s what I do for fun.

An obvious stop would be the main code repository for the AIMA book. Surprisingly that place doesn’t have anything at all to deal with Bayes networks. Or does it? I smell adventure.

After a fair amount of digging I’ve come across some Lisp code from one of Stuart Russell’s A.I. classes at Berkeley that I’d like to share with you, via the way-back machine.

http://wayback.archive.org/web/*/http://www-inst.eecs.berkeley.edu/~cs188/code-188.ZIP

Interestingly I found more than a few files in the catacombs that aren’t in the main repository or possibly very different. Some nuggests include bayes-nets.lisp, elimination.lisp, probability.lisp, sampling.lisp, and statistics.lisp.

Eureka! I’ve found the ancient artifacts and my journey is near completion. However I was haunted by my own conspiracies of why they were lost to the internet archive to begin with.

So, recalling Occam’s Razor, I decided to mail Peter Norvig and see what he had to say about it. This was his reply. ‘Yes, Stuart did some code for various versions of the course, and he meant to integrate them bacj into the main branch but never did…’

Case closed.