Latest Writings Elsewhere – December 2018

I’m happy to announce my very first article went live on the H2O.ai blog! Writers gonna write! It’s been a long time since I contributed to my firm’s online content and it feels good to do it again.

The article is about seeking clarity in the Automated Machine Learning space. Why? Because it’s plain confusing. Everyone is coming out with their version of an auto modeling AI product. Some were the first, some are not there yet, and then there’s Driverless AI.

Automated modeling is just a fancy term to make the life of data scientists, engineers, IT administrators, and anyone else in the analytics space easier by automating processes. The IT space has done an amazing job of automating server spin ups, logins, or security. So why shouldn’t we in the AI field do the same?

H2O.ai Blog

I’ve been meaning to write this for a while since H2O World in London, but work has been busy! I did find some time pre Thanksgiving Day weekend to work on it, so I’d appreciate it if you gave it a read on the H2o.ai blog.

Flux: A Machine Learning Framework for Julia

There was a HUGE announcement on the Julia blog a few days ago. The convergence of a language for machine learning and marrying it with a compiler just got a bit closer. Julia announced Flux, a machine learning frame work for Julia. 

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Makers vs Takers

The best startups have a ‘Do It Yourself’ attitude. When a problem arises, no one get’s assigned the task to solve it. The team jumps right in and gets to work. There’s always a sense of ownership and a sense of pride. They build new things because it’s cool. They think of ways to make things better and make it happen. They are the ‘Makers’, and for lack of a better word, they make $hit happen.

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