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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. A machine learning model is trained iteratively on a data set. Quickdraw : Crowdsourced data on line images and strokes 3. UX, Processes, and Data, all contribute to the success of a Machine Learning model.

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

DISQO

And finding those are easier when you crowdsource that versus trying to talk to 10 or 20 people. I’ve seen three general models work for adding experimentation to your company’s arsenal of customer-focused initiatives: Product teams have direct access to frameworks, tools, and platforms to run experiments.

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

DISQO

And finding those are easier when you crowdsource that versus trying to talk to 10 or 20 people. I’ve seen three general models work for adding experimentation to your company’s arsenal of customer-focused initiatives: Product teams have direct access to frameworks, tools, and platforms to run experiments.

article thumbnail

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

DISQO

And finding those are easier when you crowdsource that versus trying to talk to 10 or 20 people. I’ve seen three general models work for adding experimentation to your company’s arsenal of customer-focused initiatives: Product teams have direct access to frameworks, tools, and platforms to run experiments.

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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. And it is about training. Because it lets them understand that when I now talk about the risks, the exotic risks that were not mitigated, I have a framework for saying look we’re going to pay attention to that risk. Absolutely great.