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Top Data Labeling Tools for Machine Learning Projects

The Product Coalition

If you’re building a machine learning model, chances are you’re going to need data labeling tools to quickly put together datasets and ensure high-quality data production. In this article, we present the eight best annotation tools to help you create training datasets for machine learning.

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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.

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. This machine learning model doesn’t operate alone, though. Tapping the hive mind in customer success.

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A Guide To Gainsight’s Pulse 2019 Product Announcements

Gainsight

Renewal Center uses machine learning to analyze subjective and objective customer data to produce a predictive renewal likelihood score for every renewal opportunity, leading to an accurate renewals forecast.

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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. So what just happened there was machine learning. So you now all know machine learning is it’s a buzzword. Machine learning is patterned after what humans do naturally. Those of you from the UK? Absolutely great.