It looks like Google is catching up to the idea of machine learning on a Raspberry Pi! Someone put RapidMiner on a Pi back in 2013 but it was slow because the Pi was underpowered. The Pi has been a great thin client and a small, but capable server. I’ve used it for my Personal Weather Station project and as an FTP server. Based on the news, things are about to get interesting for both Google and Raspberry Pi.

I first started out with the #RaPi project, installing and configuring RapidAnalytics on a 2 Pi cluster successfully. The experiment came to a grinding halt after I tried to initialize RapidAnalytics. The 2 Pi cluster was ridiculously underpowered and I couldn’t get it to run successfully. I theorize that that problem could be solved by adding a 3rd or even 4th Pi to the cluster and trying again. Today, I have two Pi’s in production running my media center (Raspbmc) and another uploading my weather station (WeWxx) data to the Internet.

Below you’ll find a merged set of posts on my Raspberry Pi Tutorials and fun links I found. The Raspberry Pi is a cheap credit card sized computer that helps kid ‘hack’ and learn computing. It’s a great way to build lots of fun projects too. I hope to add to this list as time goes on but I thought my readers would like to see an updated list from my archives.

The image below is my first Raspberry Pi computer.  It's an amazing little thing and I decided to purchase one ($35 USD) so I can connect it to my weather station and upload its data, in 15 minute intervals, to the Internet and my FTP site.  Why?  Well I love data if you haven't figured that out by now, and I want to give back to the community. So far I've installed the Raspbian Linux kernel on a 4GB SD card and got it to recognize and connect an Edimax Wifi dongle(sp).