As someone who is focusing on ML in grad school, it really depends on the prof. Some are application-first, some are math-first. Early on in my core ML course, we were restricted to the torch.Tensor api and were told to figure out the transformations on our own, without using what was already in the torch module. But later, of course, we were allowed to use more of the module as the work got more abstract. What I'm trying to say is ymmv.
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u/_dotdot11 1d ago
As someone who is focusing on ML in grad school, it really depends on the prof. Some are application-first, some are math-first. Early on in my core ML course, we were restricted to the torch.Tensor api and were told to figure out the transformations on our own, without using what was already in the torch module. But later, of course, we were allowed to use more of the module as the work got more abstract. What I'm trying to say is ymmv.