Thinking back, this is how most people actually learn anyway. The physics and math foundations come far later.
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Early days of the Royal Society.
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This is how ML is taught now. One algo at a time.
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The converse is: teach biology more like we teach technology. Start with basic synthetic systems in which all of the functionally important principles are known, build up complexity one new feature at a time, treat evolution as brilliant but flawed, refactor accordingly
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I was trying to figure out how I would respond and this nailed it
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Was discussing this just now in light of a certain project we’re developing. Nice to see great mediocre minds thinking synchronically alike. ;)
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I thought it's: Great minds think alike, but every mediocre mind is mediocre in it's own way.
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Paul Graham http://www.paulgraham.com/hp.html ... grep the para that begins : `` I've never liked the term "computer science." ''
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