Confession: What makes me good at machine learning research makes my life miserable. And that is: I habitually stick with a problem until it's solved. The problem is that the problem can never truly be solved in machine learning. 1/
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That's what I did here. I'm still working on understanding it after one year (for reference, most masters/phd theses take years and don't completely "solve" the issue they're treating), but I'm having a lot of fun with it in the meantime.https://twitter.com/sina_lana/status/1266019137957933056?s=19 …
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Problems are full of possibilities!
End of conversation
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In research, knowledge is the goal so finding a new problem is exciting. But to many of my engineering friends, the point of a problem is to be solved.
I did 5 years of engineering school, I get it but..