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This is the same line of thinking a lot of ‘coding boot camps’ seem to take- why learn 4 years of computer science and engineering fundamentals when you’ll jus
by reasonabl_human 5y ago
This is the same line of thinking a lot of ‘coding boot camps’ seem to take- why learn 4 years of computer science and engineering fundamentals when you’ll just be using node.js in the workplace?
A dangerous trap IMO- both are valuable but incredibly different. The former is teaching a narrow-scoped trade as opposed to learning a full-fledged engineering discipline. The latter is much more generalizable and equips you to understand / build / use most tools going forward, rather than overfitting use only to the current fad of high-level tooling.
- runawaybottle 5y agoThe counter point to that I can offer is that you can kill whatever spirit exists to learn it deeply if you throw someone into the deep first, and then deeper. The will to learn gets lost, whereas being effective can fuel wanting to be more effective. Human energy has to be paced, and will cultivated.
- phkahler 5y ago>> being effective can fuel wanting to be more effective. I rather like that statement. Going to use it.
- chalst 5y agoI don't think the two are so analogous. A problem with placing a high value on finding exact closed forms for integrations is that it encourages behaviour like the drunk looking across the street from where he lost his key because that is where the streetlight is. Most integrations just don't have closed solutions and we have to live with that fact. Bayesian statistics has been liberated by the ability to perform many dimensional integrations on the kind of likelihood functions appropriate for the problem, where before the advent of modern computational techniques Bayesian statistics had a reputation for concentrating on artificial problems that we happened to know how to solve.