What really sets you back is not what you don't know, it's what you think you know but really don't. Forming bad mental models and having undue confidence in them is far more dangerous than just being aware of your limitations
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If you want to become an expert one day, you should not get started by learning from amateurs. They will impart you with mental models that kind of work but aren't quite correct, which will set you back enormously -- far more than a lack of knowledge.
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Maybe most of all because it takes away the drive to learn. A good intro on a topic gives you solid foundations that make you *want* to dive deeper, it doesn't make you believe you've seen everything you need to know
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@fchollet What if someone doesn't have access to experts? MOOCs are a way to learn from experts but many still don't have access to those(Internet or language barrier/Others). Also, how to judge someone is expert if you are taught by amateurs?Thanks. Twitter will use this to make your timeline better. UndoUndo
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This is why reading textbooks even when you're long out of school is useful. They are the distillation of the life's work of an expert in the field. You get to visit their mind and spend time with them through that book.
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but, Don't you think there is a gap between experts' knowledge and how it is conveyed in the books? Most are not stimulating for general audience IMHO.
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If one has a reliable method of sorting and ranking them, isn’t a copious abundance of mental models, INCLUDING the robust and expert models, a benefit? Even if some are flawed? How is deep comprehension thwarted if the explanatory models can be sorted, contrasted and ranked?
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There’s still value in learning from amateurs. Example: taking a class from a great TA is often better than from a distinguished prof because the TA has been in contact with the material as a novice more recently and can better help you navigate beginners mistakes.
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I think this is very different. A TA will have expert mental models (even though they may not have fully internalized them), and students will have access to expert knowledge through textbooks. It's just a more pedagogical approach to teaching expert mental models (from books).
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ML as we know it will be a drop-down in an IDE one day, or better, an an appendage to sql syntax. Make peace with it. Results win - not gatekeeping.
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Agree. But, how does one know the difference? They may be professionals on paper.
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