Machine learning on image-like data can be many things: fun (dogs vs. cats), societally useful (medical imaging), or societally harmful (surveillance). In comparison, tabular data – the bread and butter of data science – may seem more mundane.
What’s more, if you’re particularly interested in deep learning (DL), and looking ...
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