Submitted by huberemanuel t3_y4o2se in MachineLearning
I find myself in the following scenario: I read many papers and books, and I can replicate many of the ideas I find and also combine them, but when I must create my own thoughts I get somewhat stuck. It is as if my brain gets stuck in “pattern recognition” to identify which of the ideas I have already learned fit the current context, instead of using the “creation” mode.
Back in time, when I participated in programming contests, it was not enough to know the main techniques and problems, it was also necessary to have good reasoning and logic skills to apply them in solving certain problems. So it seems vital to me to have these skills for research in ML (or in other areas), yet I have never seen anyone talking about this in universities, lectures, or books.
Do you think it is an essential skill? If yes, how do you do to have these skills sharp?
zyl1024 t1_isfpphh wrote
Of course. Can you identify weaknesses (or even straight BS) from papers (spoiler alert, almost none of them are perfect)? These will be good sources for ideas and inspirations for new research, and would definitely require critical thinking, reasoning, logic, analysis skills.