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The Cost of a False Positive

The Cost of a False Positive

Published By: Research Desk Released: Mar 06, 2020

We all know false positives in machine learning can be costly. And while we also know that high quality data is imperative to the success of your algorithm, in some…

Market Offerings for Training Data

Market Offerings for Training Data

Published By: Research Desk Released: Mar 06, 2020

According to Crowdsourcing: Why the Power of the Crowd is Driving the Future of Business, crowdsourcing is an “attractive solution to the problem of cheaply and quickly acquiring annotations”. Essentially,…

How Vulcan Improved Turnaround Times to Process Training Datasets

How Vulcan Improved Turnaround Times to Process Training Datasets

Published By: Research Desk Released: Mar 06, 2020

AI-enabled products that can record and monitor African wildlife come with their share of challenges. In addition to requiring massive amounts of training data, the diversity of the data must…

How to Ensure Quality Data for AI Algorithms

How to Ensure Quality Data for AI Algorithms

Published By: Research Desk Released: Mar 06, 2020

While there’s no argument that data quality influences the success of your algorithm, the definition of “high quality” is often ambiguous. It can also be challenging to obtain quality datasets…

How Does Quid Create Reliable Business Intelligence?

How Does Quid Create Reliable Business Intelligence?

Published By: Research Desk Released: Mar 06, 2020

Quid is working to ingest the world’s collective intelligence. Their goal? Help business decision makers quickly gain the insights they need to make more informed decisions. Quid’s product is a…

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