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A Guide to Machine Learning PhDs

https://blog.ycombinator.com/a-guide-to-machine-learning-phds/

by allenleein • 8 years ago

1 1 8 years ago

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blog.ycombinator.com

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folkstack• 8 years ago

PhDs are over-valued/hyped for ML, especially as it is currently the practice of brute forcing undergraduate maths via CS fundamentals.

ML is a creative field of algorithm composition, and the hardest part is the actual programming. These are not the typical skills of a PhD student.

The current pace, and variegate provenance, of ML research suggests that a PhD student is going to be, at best, a scholar of the web wasting too much time on academics.

At least one of two things will happen in ML: there will be a singular advance in theory that opens up a world of practical applications (like QM), xnor the field of ML will be open to endless synthesis (like programming and music).

All that said, no doubt a PhD will pay for itself...

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