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”
It’s been nearly a whole month since I’ve been back from H2O AI World 2018 in London. First off, London is always a great city. I love it. Add in H2O World and it was like a machine learning fairy tale.
There were Kaggle Grandmasters, new H2O-3 and Driverless AI releases, and awesome speakers. Oh my!
Continue reading “H2O AI World 2018 in London”
A new feature has been added to H2O-3 open source, isolation forests. I’ve always been a fan of understanding outliers and love using One Class SVM’s as a method, but the isolation forests appear to be better in finding outliers, in most cases. Continue reading “Isolation Forests in H2O.ai”