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> The innovation is in the data, not in the ML. can't you kind of say this about all ML? That the main driver in ML is 99% the quality of the training data and
by pmarreck 5y ago
> The innovation is in the data, not in the ML.
can't you kind of say this about all ML? That the main driver in ML is 99% the quality of the training data and 1% the specific details of the neural networks used?
- amelius 5y agoFor most real-world applications of ML, yes. Of course, what happens in ML-research is different (where e.g. new networks for new modalities are invented). But back to the topic, I bet the kid didn't even invent their own neural network topology, but just pulled a predefined network from a library, perhaps without even knowing it. Which is ok, because that is how most people use ML.