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How much material have the profs digested in order to make this huge curriculums? Because they're not just listing "anything they've read about the subject", ar
by severine 9y ago
How much material have the profs digested in order to make this huge curriculums? Because they're not just listing "anything they've read about the subject", are they?
- apohn 9y agoSome professors have had 20+ years to digest an enormous amount of information. Keep in mind they have 2 major advantages over people in industry when learning this stuff. At universities that offer PhDs, being a professor forces you to develop a strong theoretical foundation, which makes it easier to grasp the theory of related subjects. Example: If you have a deep understanding of math/statistics theory, it's much easier to understand a paper on machine learning, even if you're not a computer science professor. Professors at research oriented universities supervise PhD research students and each student tends to be a multiplier on their supervisor's knowledge since each PhD is a collection and extension of an existing research area. A good PhD student is basically a massive funnel of information. I'll also say, don't ascribe more abilities or skills to a professor than what you see in the presentation. Sometimes having a strong theoretical orientation/experience comes at the expense of a practical one. Don't assume that having a strong theoretical foundation in Stats/ML automatically makes you a good Data Scientist or ML Engineer.