The most advanced ML Observability product in the market
Building an ML platform is nothing like putting together Ikea furniture; obviously, Ikea is way more difficult. However, they both, similarly, include many different parts that help create value when put together. As every organization sets out on a unique path to building its own machine learning platform, taking on the project of building a […]
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We’re excited 😁 to share that Forbes has named Aporia a Next Billion-Dollar Company. This recognition comes on the heels of our recent $25 million Series A funding and is a huge testament that Aporia’s mission and the need for trust in AI are more relevant than ever. We are very proud to be listed […]
The training set used to train the ML model can be labeled by humans who may have been biased during the tagging process. For example, in a system that predicts the success rate of a job candidate, if the labeling was done by a person who is biased (intentionally or unintentionally), the ML model will learn the bias that exists in the labeled data set it receives.
Learn more about AI Bias & Fairness here.
