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Indeed. If you already understand the data and the business and you already know Python or R then you can download Keras in the morning and have something usefu
by goatinaboat 7y ago
Indeed. If you already understand the data and the business and you already know Python or R then you can download Keras in the morning and have something useful to the business running in the afternoon. Then you can add ML to your CV.
It’s not clear where an ML expert who isn’t already familiar with the data and the business fits in or adds value, or even what an expert really means in industry.
- mellosouls 7y agoAdding ML to your CV with the Mickey Mouse experience and understanding you describe would be a good way to get yourself drummed out of a job where you are actually expected to have the expertise you claim. Agree with your point about domain knowledge being important.
- ska 7y agoDomain knowledge is really important, you can't overstate that. But you've also succinctly described why a huge percentage of ML as practiced in industry under performs or flat out fails. To a first approximation the person who reads a few tutorials and plays with example data sets, then sets out to apply it to their own domain, has no real idea what they are doing - and it shows.