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ML Development Services: Strategies That Make Models Work
The best way to start is small. Pick one decision that matters and check that you have the history to learn from. Then run a pilot before committing to anything bigger, because a pilot that holds up is far less risky to scale. Whichever partner you choose, make sure their machine learning services cover the unglamorous parts, like data cleanup and post-launch monitoring. If you'd like to talk through your own idea, get in touch with The Mad Brains team.
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