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He didn't say he found it personally challenging. He said this part of optimization finds itself at the intersection of three deep fields of human knowledge. Th
by DavidSJ 10y ago
He didn't say he found it personally challenging. He said this part of optimization finds itself at the intersection of three deep fields of human knowledge. That is undeniably correct.
- partykid92 10y agoThats like saying bubblesort lies at the intersection of combinatorics, topology and complexity theory. True, but pretentious
- Al-Khwarizmi 10y agoI don't think it was pretentious, and your analogy is quite off. You don't need to understand any of those fields to grok bubblesort (algorithmics is enough). You do need to know some statistics, calculus and algorithmics to understand stochastic gradient descent.
- sixo 10y ago3 fields, but each only at an introductory level.
- partykid92 10y agoyou don't need to understand statitstics. calculus (calculus is a high school subject and is hardly deep), and what is "algorithmics"? If you mean the study of any and all algorithms, then sure,
- quonn 10y agoRight, but in this particular case the "stochastic" and "algorithm" parts are trivial. For example, you don't really need to draw on CS/algorithm knowledge to implement or understand gradient descent.