I’m finally getting around to writing Part 2 of Getting Started in Data Science. The first part can be found here. I made suggestions for university students interested in the field of Data Science. I even made a video about it too.
Pick Two, Master One
Pick two computer languages and become proficient in one and a master at the other one. Or, pick a platform like H2O-Flow or RapidMiner and a language. Become a master at one but proficient in the other. This way you can set yourself apart from other students or applicants.
Continue reading “Getting Started in Data Science Part 2”
This is my third startup. Or maybe my fourth, I’m not sure but it gets hazy after a while. What I do know is that if I ever do another startup, I’ll use open source to make it happen.
Let me explain with a bit of back history.
Continue reading “Startups and Open Source”
I was going through some old files when I stumbled across these old Gartner 2017 photos. What a great trip down memory lane with the RapidMiner team. We had so much fun down there.
Oh man, somewhere there’s a video of a colleague swimming in the fountain after a long night of drinking.
Plus there was so much intrigue. I was being wined and dined by a competitor that night too.
Times like these make for a life well lived.