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I think the hype around CNN is the NLP aspect of it as it relates to AI. If you can hammer down NLP and translate voice or text to computer-legible commands, you've really improved the user experience.

On the other side of the CNN coin is the image recognition that's getting a lot of hype from the self driving auto crowd. I think any data scientist worth their salt understands how the different algorithms stack up against each other. You wouldn't use xgboost for a computer vision problem just like you wouldn't use CNN for a tabular data problem.



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