5 Steps to Thinking Like a Designer in Machine Learning

Last Updated on June 7, 2016

This is a guest post by Kevin Dalias.

I recently had the chance to attend Strata 2014 in Santa Clara, and since it was my first time at the conference, I tried to attend as many sessions as I could to understand what really makes data science tick these days. And of course, I heard plenty of the usual “a data scientist must be…” bullet points, but session after session, a new addition to the list began to take shape in my mind.

After hearing from about a dozen of the brightest contributors to the machine learning community, it finally hit me. Today’s best data scientists aren’t just scientists, they’re designers.

We’ve all heard the saying that a data scientist is a cross between a statistician, domain expert, and machine learning hacker, but in today’s landscape, that falls short. A good data scientist needs to be all of the above and also a great
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