Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
Understanding data encoding and normalization is an absolutely essential skill when working with neural networks. James McCaffrey walks you through what you need to know to get started. Dealing with ...
Paul Murphy opined recently on the relative merits of standards versus standardization. To paraphrase, standards are good because multiple products do things in the same general way, thus making them ...
AI training and inference are all about running data through models — typically to make some kind of decision. But the paths that the calculations take aren’t always straightforward, and as a model ...
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