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elmcity2019 t1_j9jm4nq wrote

I have been an applied data scientist for 10 years. I have built over 100k models using python, databricks and DataRobot. I have never seen a DL model out compete all the other algorithms. Granted I am largely working with structured business data, but nonetheless DL isn't really competitive.

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VirtualHat t1_j9lmkg1 wrote

In my experience DNNs only help with structured data (audio, video, images etc.). I once had a large (~10M datapoints) tabular dataset and found that simply taking a random 2K subset and fitting an SVM gave the best results. I think this is usually the case, but people still want DNNs for some reason. If it were a vision problem, then, of course, it'd be the other way around.

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