Hacker Read top | best | new | newcomments | leaders | about | bookmarklet login

You reminded me of something that does exactly this for machine learning. I posted it on the front page of HN (Metacademy).


sort by: page size:

Wow, thank you so much for posting this link. I was looking for something like this before jumping into theoretical machine learning.

Very cool idea. That'd be a good way to see how it can generalize, actually. I suspect you'd quickly find its limits with something that isn't a toy example of an intro to machine learning.

This is an awesome idea and a great learning project! It could be a cool tool for illustrating how different pieces of machine learning work together.

Agree, this is great! I wonder if there're some ML equivalent sites that present topics in a modular way?

Something like the Ruby Koans for machine learning? I like that idea.

Perhaps integration between this site and Metacademy would fit your needs. Metacademy was discussed in a different HN thread[1] recently, and is especially relevant to your query because it seems that the seed topics are machine learning and probabilistic AI.

[1] https://news.ycombinator.com/item?id=7617683


We'd be totally up for that, Metacademy is fantastic - saw them yesterday too and had fun looking around. They seem to be very focused on Machine Learning at the moment, but could certainly make a great synergy once they've expanded their focus a little.

Oh, I see. That's potentially very interesting (and I have a masters in machine learning, so it shouldn't be too hard to pull off). Send me an email and let's see if we can whip something up quickly?

Very nice idea. Can you give more detail about what kind of machine learning you employed?

That would be amazing. I'm putting that on my 'things to explore with machine learning when I finally get into that space' list.

Does anyone know if there is work similar to this being applied to machine learning? It seems like there could be a lot of potential.

sci-map sounds very interesting. Have you looked at metacademy.org before? They did a lot of good work on the data model (concepts, resources, learning pathways, etc), and also collected a lot of content, mostly on computer topics. https://metacademy.org/graphs/concepts/bayesian_logistic_reg...

Sadly the project is no longer actively developed but if you haven't seen it yet, you should definitely check out for inspiration: https://github.com/metacademy


Tell me about it, Khan Academy helped a bit there but it's nice seeing this kind of stuff. Sometimes seeing it written out in text makes things click.

Thanks Allen Downey for the post.

Side note: I can't wait to see how the homework went. Machine Learning is pretty interesting so far.


Looks like a great machine learning problem.

You might be interested in OpenReview, which is doing something like this, mainly in the ML/AI academic community.

(Disclaimer: I’m one of the developers)

https://openreview.net


You mean this script? Or machine learning in general? If the later then it has already been done: https://www.youtube.com/watch?v=qv6UVOQ0F44 (great educational video)

I'm a big fan of this website in general, and they have a specific guide for 'everyone interested in machine learning'.

https://www.metacademy.org/roadmaps/cjrd/level-up-your-ml


There's a very interesting project:

https://metacademy.org

"Your package manager for knowledge".

(mostly focused around ML)


At some risk of hijacking the thread, some time ago I created a collaborative list of interactive machine learning examples: https://p.migdal.pl/interactive-machine-learning-list/ (repo: https://github.com/stared/interactive-machine-learning-list).
next

Legal | privacy