Getting Started in Data Science Part 2

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. 

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H2O AI World 2018 in London

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!

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Isolation Forests in H2O.ai

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”