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 Time Window Distribution model focuses on the timestamp and the occurrence of the events.
The idea of ADWIN is to start from time window W and dynamically grow the window W when there is no apparent change in the context, and shrink it when a change is detected. The algorithm tries to find two subwindows of W – w_{0} and w_{1} that exhibit distinct averages. This means that the older portion of the window – w_{0} is based on a data distribution different than the actual one, and is therefore dropped.
