> In probability theory, the law of large numbers (LLN) is a theorem that describes the result of performing the same experiment a large number of times. According to the law, the average of the results obtained from a large number of trials should be close to the expected value, and will tend to become closer as more trials are performed.
This book: > If one generates random points in d-dimensional space using a Gaussian to generate coordinates, the distance between all pairs of points will be essentially the same when d is large. The reason is that the square of the distance between two points y and z ...
When anyone tells me that X is the ONLY way to do it, almost exclusively I have found them wrong - beyond data science. Formalism is a means of communication, not the end. You can always communicate ideas without formalism.
FYI, I am a Ph.D Computer Science and a practicing Data Scientist for many years now.
The problem is detailed in this wonderful essay by Paul Lockdhart
https://www.maa.org/external_archive/devlin/LockhartsLament....
Here's a simple concept: all polynomials with coefficients in a number system (field) have a solution (possibly in a larger field).
Do you know how hard it is to convey what exactly this means and what the consequences are? I like Lockhart's essay. It resonates with me. However, I don't see his ideas being useful in terms of learning advanced topics. At some point one has to get their hands dirty and slog through the material. Intuition will come with experience.
I never said it is easy.
> Intuition will come with experience.
And this experience that some people have already reached should be shared, not limited to a select coterie of people.
Except, I can hardly see that. At least, I see you trying - most people do not make an attempt at all.
FYI, I am a Computer Scientist.
An N-dimensional vector space is not like R^3. A monad is not like a burrito, and >>= is not like chipotle forgetting to put chicken in your burrito, opening it up, adding chicken and wrapping in a new tortilla.
Math is a new thing rather than the same old thing with new syntax. It needs to be understood on it's own terms. If you are serious you'll learn it.