[HN Gopher] A few of the best math explainers from this summer [...
___________________________________________________________________
A few of the best math explainers from this summer [video]
Author : ykonstant
Score : 59 points
Date : 2021-10-24 17:42 UTC (5 hours ago)
(HTM) web link (www.youtube.com)
(TXT) w3m dump (www.youtube.com)
| mcdonje wrote:
| Great channel and initiative. Here's the blog post linked to in
| the video: https://www.3blue1brown.com/blog/some1-results
| jbj wrote:
| thanks, a pleasure to get text first, and video as the
| complement
| Evgenii1 wrote:
| All his playlists have an accompanying text post some with
| exercises if anybody else doesn't know
| https://www.3blue1brown.com/lessons/derivatives-power-rule
| strainer wrote:
| This little known channel: sudgylacmoe - which doesn't seem
| present in the list, has the best video by far on Geometric
| Algebra (imho)
|
| https://www.youtube.com/watch?v=60z_hpEAtD8
| Evgenii1 wrote:
| Wildberger's channel for me has the best 'explainers', he
| reinterprets math and in the process you end up learning about
| both the standard definition and a different model he comes up
| with for example in his FMP playlist is a totally wild
| reinterpretation of the complex numbers using Dihedron algebra
| https://www.youtube.com/playlist?list=PLIljB45xT85Bfc-S4WHvT...
|
| I always like seeing standard math curriculum cast to some other
| interpretation for example E.T. Jaynes book 'Probability Theory
| the Logic of Science' the first few chapters he builds up from
| scratch probability theory deriving it entirely from quantitative
| logic using a running example of a robot being programmed using
| sampling theory and hypothesis testing, parameter estimation and
| performing random experiments. No Venn diagrams, the Bernoulli
| urn rule comes popping out as a logical consequence, the central
| limit theorem reveals itself as a special case when you discover
| a phenomenon over the chapters where all other distributions seem
| to gravitate towards a gaussian/normal distribution which he
| proposes renaming the central distribution then there's even an
| entire chapter on where the names for these distributions come
| from and how they are misleading. No measure theory either, you
| expand a continuous function to a finite orthogonal function, you
| assign probabilities in a finite dimensional space, do the
| probability calculation then pass to the limit at the end where
| you end up using the Lebesgue integral in what he claims is 'it's
| original meaning'.
|
| Anyone who knows of more books or channels that do this I'd be
| interested
___________________________________________________________________
(page generated 2021-10-24 23:01 UTC)