I haven't written a blog post in ages. And while I don't want to give anything away, the main reason I haven't been writing is that I've been too busy doing my day job at MailChimp. The data science team has been working closely with others at the company to do some fun things in the coming year.
That said, I got inspired to write a quick post by this excellent short paper out of Google, "Machine Learning: The High Interest Credit Card of Technical Debt."
Anyone who plans on building production mathematical modeling systems for a living needs to keep a copy of that paper close.
And while I don't want to recap the whole paper here, I want to highlight some pieces of it that hit close to home.
That said, I got inspired to write a quick post by this excellent short paper out of Google, "Machine Learning: The High Interest Credit Card of Technical Debt."
Anyone who plans on building production mathematical modeling systems for a living needs to keep a copy of that paper close.
And while I don't want to recap the whole paper here, I want to highlight some pieces of it that hit close to home.
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