Today we are going to share a story where we participated in a project that included low quality data and failed the expected model’s accuracy rate. But in the end, both us and the client see this experience as a success - and let’s see why.
When considering Machine Learning as a part of your company’s IT toolbox, there are certain things that are pivotal to address. We will touch upon how your approach to ML projects may impact the outcome.
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