This is interesting, please share your thoughts
used to think that ML people didn't know enough math, that this was what was limiting the field. Now I think the field needs more humanities
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Why we would need more math is clear: the field is largely empirical and mostly free of theoretical foundations (true before DL, worse now)
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Opening up a math textbook (e.g. information geometry) at any random page can easily lead to a good and novel ML paper. Math under-exploited
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Yes, it does. I'm available.
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Agreed. This is why pushing the tools forward is so important - brings new mindsets/competencies to inventive use of ML. cc
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Issues in science have a lot to do with its (rather recent) disconnection from philosophy!
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I used to think the same and I also changed my mind in a similar way.
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That was exactly at the heart of the project
@vszabo &@artdotRIP and I did at#CodingDurer last month.Thanks. Twitter will use this to make your timeline better. UndoUndo
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EXACTLY
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Agreed. I focus on more "applied machine learning" and am trying to go back and learn the math (again). Now I know why I didn't do math PhD.
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Most of what you need/use is linear algebra and multivariable calculus.
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