The first step in AI might surprise you

Cassie Kozyrkov
Oct 15, 2018 · 7 min read

It’s a trap!

Image: source.

Your comfort zone can lead you astray

Don’t ask a team of PhDs to, “Go sprinkle machine learning over the top of the business so… good things happen.”

Eerily familiar?

Begin with the decision-maker

Start here

The right first step is to focus on outputs and objectives.

Your order of operations might be a mess.

Define success!

It took plenty of planning to get Peach this good at policing. He even writes witness statements! (This fist-crayon masterpiece comes from officers frustrated by a barrage of requests for an account from PC Peach… despite their having explained that Peach is not a person.)

Analytics might a better fit for you

Spend some time figuring out what looks promising enough to pursue, then come back to machine learning when you’re ready.

Is this good behavior? I have an opinion and I’d hazard a guess that Fido here has one too.

Before you do anything else

The right time to think about your goals is at the very beginning, while your project is still a puppy!

“What is my purpose?”

The right step taken by the wrong people

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Cassie Kozyrkov

Written by

Chief Decision Intelligence Engineer, Google. ❤️ Stats, ML/AI, data, puns, art, theatre, decision science. All views are my own. twitter.com/quaesita

HackerNoon.com

how hackers start their afternoons.