In Machine Learning, you can use Principal Component Analysis as a lossy transform that lets you reduce the complexity of data in order to improve the performance of computationally expensive operations.
So like, what does PCA actually do? It crunches multiple dimensions into a single dimension. Consider for a moment the idea of BMI, or Body/Mass Index. It takes 2 dimensions, mass and height and crunches them into a single dimension which somewhat describes both. The diagram to the right kind of expresses this idea of shrinking the number of dimensions. Here, Dimension X is a conglomerate of Dimensions A and B such that position x corresponds to point a on Dimension A and point b on Dimension B.
As I’ve learned more about algorithmic learning, I’ve found myself believing that really, we humans learn in similar ways. This led me to the observation that perhaps the 4 spacial dimensions of space-time may actually not actually be “real” dimensions at all. Maybe our brains take in the high-dimensionality described by String Theory and collapse it, through electro-chemical processes similar to PCA into the 4 dimensions we interact with.
It could be that the world we live in is far more complex than we perceive. We could be thinking in the blue Dimension X when really we exist in A and B.
Yeah I spent the $35 to get myself a Raspberry Pi. Here it is!
Admittedly, It’s taken me a bit longer than I’d have expected to get it to boot. First, I bought the wrong USB power cable. I thought that the connector was a “Mini-USB” but really it was a “Micro-USB”. You’d think that with the volume of electronics I own, I’d know the difference between the two… but you’d be wrong.
My next folly was with the operating system. First I tried the Arch Linux build, but for some reason, it didn’t copy to my SD card properly. My instinct was that the Amazon Basics SD Card wasn’t compatible for some reason or another, but that was a false trail. I instead copied the recommended Raspbian “Wheezy” image… and viola! I have it booting!
Here’s a screen shot part way through the boot. The Composite Video output doesn’t seem to line up very well with my old Dell monitor.
The boot process is pretty swift and the distribution automatically DHCPs a network address and starts sshd, so it’s possible to ssh in as soon as it finishes coming up.
Once inside, I poked around a little bit. Here’s the CPU info
pi@raspberrypi ~ $ cat /proc/cpuinfo
Processor : ARMv6-compatible processor rev 7 (v6l)
BogoMIPS : 697.95
Features : swp half thumb fastmult vfp edsp java tls
CPU implementer : 0x41
CPU architecture: 7
CPU variant : 0x0
CPU part : 0xb76
CPU revision : 7
Hardware : BCM2708
Revision : 0002
Serial : 0000000048e7f498
I distinctly remember commenting that a “100mhz computer with 128 megs of ram will always make a good linux box.” Here’s a linux box that has way way more as far as capabilities… for $35. Maybe we’ve reached the future.