Shakir is a force of nature. He is one of the organizers of the Deep Learning Indaba - an incredible effort to strengthen machine learning in Africa. Unfortunately the 2018 videos aren't out yet (Shakir gave an amazing talk on deep learning fundamentals and some of the tricks from his blog) but everyone should be aware of Shakir and the Deep Learning Indaba: http://www.deeplearningindaba.com/
Excellent post about potential flaws of your typical linear regression model and how to address with causal methods. As a self-taught practitioner, these posts are priceless in letting me know what I don't know...
Each field seems to have its own nomenclature. I recognize 'instrumental variables' from a (bio-)statistics course, so I think that's a pure statistics term. Larry Wasserman has a vocabulary chart in 'All of Statistics' (there's a PDF I won't link to) that lists terms differing between statistics and computer science. For example he writes that 'using data to estimate an unknown quantity' is called 'estimation' in statistics and 'learning' in computer science.
I'm asking about why the usage of the mathematics that you and I are apparently both familiar with could be described in different ways depending on which field is referencing it. This is a linguistic question - not a mathematical one.
Nomenclature is different in different fields all the time, or even different areas of the same field. It all depends on what practitioners feel is most intuitive.
No need to call someone rude for not answering your question and asking their own instead.
