# Difference between revisions of "Difficulty of learning mathematics"

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[http://colah.github.io/posts/2015-08-Backprop/ Christopher Olah]: "Derivatives are cheaper than you think. That’s the main lesson to take away from this post. In fact, they’re unintuitively cheap, and us silly humans have had to repeatedly rediscover this fact. That’s an important thing to understand in deep learning. It’s also a really useful thing to know in other fields, and only more so if it isn’t common knowledge." | [http://colah.github.io/posts/2015-08-Backprop/ Christopher Olah]: "Derivatives are cheaper than you think. That’s the main lesson to take away from this post. In fact, they’re unintuitively cheap, and us silly humans have had to repeatedly rediscover this fact. That’s an important thing to understand in deep learning. It’s also a really useful thing to know in other fields, and only more so if it isn’t common knowledge." | ||

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+ | https://www.facebook.com/vipulnaik.r/posts/10201718168211884 | ||

==See also== | ==See also== |

## Revision as of 23:13, 12 February 2019

This page is about the **difficulty of learning mathematics**. What makes it difficult to learn math? Why does math seem more difficult (in some ways) than other subjects? Why do even some really smart people struggle with math? Why does it take so long to learn math?

## Differences in difficulty between pre-rigorous mathematics and rigorous mathematics

## Notes

NOTE: this section isn't really part of the article; it's a place to throw quotes into, with the hope that the quotes will eventually be smoothed out/summarized and placed in the main article.

Satvik Beri makes the case that "math geniuses" are people who have internalized prerequisite concepts so thoroughly that it has become intuitive to them, which allows them to pick up newer concepts quickly.

Vipul Naik: "While linear algebra lacks any *single* compelling visual tool, it requires *either* considerable visuo-spatial skill *or* considerable abstract symbolic and verbal skill (or a suitable linear combination thereof). Note the gap here: the standard computational procedures require only arithmetic. But getting an understanding requires formidable visuo-spatial and/or symbolic manipulation skill. So one can become a maestro at manipulating matrices without understanding anything about the meaning or purpose thereof."

Brian Bi: "Easy stuff (basic algebra, trig, differential and integral calculus) clicked instantly. Slightly harder stuff like multivariate calculus and linear algebra didn't click right away---I had to go through them a few times. And more advanced topics like group theory haven't clicked yet, but I'm confident they will eventually."

Christopher Olah: "Derivatives are cheaper than you think. That’s the main lesson to take away from this post. In fact, they’re unintuitively cheap, and us silly humans have had to repeatedly rediscover this fact. That’s an important thing to understand in deep learning. It’s also a really useful thing to know in other fields, and only more so if it isn’t common knowledge."

https://www.facebook.com/vipulnaik.r/posts/10201718168211884