A few of the best math explainers from this summer [video](youtube.com)
youtube.com
A few of the best math explainers from this summer [video]
https://www.youtube.com/watch?v=F3Qixy-r_rQ
8 comments
Great channel and initiative. Here's the blog post linked to in the video: https://www.3blue1brown.com/blog/some1-results
thanks,
a pleasure to get text first, and video as the complement
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
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
https://www.youtube.com/watch?v=60z_hpEAtD8
The channel is actually at number 200 in the youtube playlist.
https://www.youtube.com/playlist?list=PLnQX-jgAF5pTkwtUuVpqS...
https://www.youtube.com/playlist?list=PLnQX-jgAF5pTkwtUuVpqS...
I exported the playlist to a spreadsheet (easier to search and sort)
https://docs.google.com/spreadsheets/d/1fswG7v8wKFoK06ilbF9V...
https://docs.google.com/spreadsheets/d/1fswG7v8wKFoK06ilbF9V...
I was flabergasted by this kid
https://youtu.be/DuS9QAL34tU
he's pretty fast ;)
he's pretty fast ;)
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