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My framework for Machine Learning Products — Part 1 of 3

The Product Coalition

Over the years of building Machine Learning products, I’ve come up with a framework that usually works for me. Build a feedback loop This helps to gauge customer satisfaction and generates data for improving your machine learning model Monitor For errors, technical glitches and prediction accuracy Get creative!

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How do market researchers add experimentation to drive better business outcomes?

DISQO

In an effort to get closer to Amazon’s benchmark of having 70% of the information needed, some product managers even go to nearby Starbucks to generate feedback from random patrons. And finding those are easier when you crowdsource that versus trying to talk to 10 or 20 people. appeared first on Feedback Loop.

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How do market researchers add experimentation to drive better business outcomes?

DISQO

In an effort to get closer to Amazon’s benchmark of having 70% of the information needed, some product managers even go to nearby Starbucks to generate feedback from random patrons. And finding those are easier when you crowdsource that versus trying to talk to 10 or 20 people. appeared first on Feedback Loop.

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30 Steps to Mobile App Launch

Alchemer Mobile

Whatever it is, spend some time creating a framework for measuring success for your app. ESTABLISH A FEEDBACK LOOP FOR YOUR APP. For best results, the feedback loop should be built into the app itself, not requiring testers to leave the app to open their email or give you a call. PLAN A BETA RELEASE.