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Notes -
On trivial PhD.
Old professors and academics are often unaware of how easy it is to spin up a ML model using sk-learn or a Neural Network using pytorch or keras. They think the students are programming backpropagation from scratch. So a lot of ML-related research is a lot more trivial than it looks to non-programmers, this includes theoretical CS academics who don't program much. Some of my GitHub repos could be turned into conference papers.
I predict a lot a lot of careers will be built on kaggle level Jupyter notebooks before the system catches up to it.
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