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My framework for Machine Learning Products — Part 1 of 3

The Product Coalition

Building your first Machine Learning product can be overwhelming?—?the I’ve often seen great Machine Learning models fail to become great Products, not because of the ML itself, but because of the supporting product environment. UX, Processes, and Data, all contribute to the success of a Machine Learning model.

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Clearbit’s VP of Customer Success on turning economic headwinds into a growth opportunity

Intercom, Inc.

Then, because budgets and resources are undoubtedly restricted, they must learn how to do more – with less. Combatting churn with machine learning. Instead of piecing together why customers have left after the fact, Luke’s built a machine learning model to get ahead, months ahead, of potential churn.

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Humans Are Awesome/Terrible At Risk Management | Andy Ellis, Akamai | BoS USA 2019

Business of Software Conference

This is actually crowdsourced words I didn’t even come up with these on my own. You, you come solve the problem because that’s what I’m really good at is assigning resources to problems. So what just happened there was machine learning. So you now all know machine learning is it’s a buzzword.