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I am currently designing a university course on ML-Product Management. The module's focus is to teach my students that when it comes to building efficient and effective solutions the problem-analysis comes first and the…
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How do you guys approach decision making when it comes to ML-powered solutions? The approach I have followed so far in my career follows decision-making based on collecting evidence as quickly as possible based on…
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I was wondering what is HN's take on the state of the art when it comes to hosting GPU-based Machine Learning model demos. We are a university unit with a strong focus on Applied ML and the need to host research…