You're probably not gonna find many. Compare ML to, say, Thermodynamics, a similar technical field. Any "edutainment" videos are most likely not going to go that deep, and the videos that go that deep aren't going to be entertaining.

Just watch a lecture series or something, exercise your attention span.

Two Minute Papers always has interesting, very visual stuff on ML and rendering/simulation

As much as I'm a fan of Dr. Karoly Zsolnai-Feher, he focuses almost exclusively on flashy graphics, rendering, and control research, and does so at a very press-release-y level. If you actually want to learn about Machine Learning, Two Minute Papers isn't going to do that for you.

Two Minute Papers is actually along the lines of what I am searching for. It could be a bit deeper for me, but that is okay. (See my other answer.) However, he seems to _only_ do neural networks and I would like to see other stuff.

Except for Siraj Raval and Two Minute Papers I have not found _any_.

My attention span is good enough that I am able to concentrate for 8-10 hours to a degree that I forget eating - not kidding :-D. Also, I am doing academic, foundational ML research and have been doing data science since 2008. This is not the issue. Here, I am looking for something along the lines of 3blue1brown (math), numberphiles (math), wisecrack (philosophy), Rational Animations (philosophy) etc., but for ML. I would like to see what other do (besides neural nets) while relaxing. Siraj Raval is fun, but a bit over-the-top for my taste.

Ah yes, Siraj. Great guy, keep watching him, totally not a known scam artist and plagiarizer.

But no, you're not going to find anyone going into the nitty-gritty of research papers in a manner that is both entertaining and educational.

:-D I am not saying that his content is original. I am saying that he is trying to be fun; and not even my type of fun, more like "Mr Beast"-fun (which I also do not like much).

Oh, no, I mean he submitted clearly plagiarized papers to academic journals, and also scammed people out of tuition money to attend worthless boot camps.

Oh, wow; indeed, I did not know that. I checked some of the reports on that. Disappointing, even if the paper he wrote was not peer reviewed etc. I am in the process of publishing to the ECML-PKDD journal track after 5-11 years of research (depending on how one is counting, as worked on other stuff too). It paints very much if other take the "cheap" route, esp. since my stuff is the opposite of low hanging fruit :-/.

But to share a bit of story here: one of the papers I am heavily comparing my work to, mentions a third paper once in the introduction, but then later goes on to basically copy and paste the formulas later without mentioning that third paper again. Not sure whether that is outright plagiarization, but it leaves a bit of a bad taste in my mouth.

What is kind of funny, is that I never liked the guy, as in "personal preference", but I always attributed it to my taste. Just as I cannot stand MrBeast, but I also attributed that to taste, as I try not to judge someone and that to consider this to be reasonable. Well, at least with Siraj, maybe my gut was actually right :-D.

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