One of the creators of R2D3 here. Funny to wake up to this today! Happy to answer questions here or on bsky
Any plans for more articles, 10 years later?
A Visual Introduction to Machine Learning (2015)
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Re: A Visual Introduction to Machine Learning (2015)
#22One of the creators of R2D3 here. Funny to wake up to this today! Happy to answer questions here or on bsky
If I would like to build a visualization like this, but for a data ingestion pipeline, any tips on where to start?
I have it visually in my head, but it feels overwhelming getting it into a website.
Re: A Visual Introduction to Machine Learning (2015)
#23- A previous comment by me about my list of absolutely gorgeous, interactive, animated, high dynamic learning resources classified as S TIER
- S-TIER blogs are those that are animated, visual, interactive and absolutely blow your mind off
- A-TIER are highly informative and you ll learn something
- opinion blogs at the absolute bottom of the tier list because everyone everywhere ll always have an opinion about everything and my life is too short to be reading all that
- these are the S-TIER ones on my system
- https://ciechanow.ski/archives/
- https://mlu-explain.github.io/
- https://seeing-theory.brown.edu/index.html#firstPage
- https://www.lumafield.com/scan-of-the-month/health-wearables
- these are the BEST of the BEST, you ll be blown away opening each page is how good they are. i am thinking of creating a bookmark manager that uses my criteria above and runs across every damn blog link ever posted on HN to categorize them as S-TIER, A-TIER, opinion and so on
Re: A Visual Introduction to Machine Learning (2015)
#24- A previous comment by me about my list of absolutely gorgeous, interactive, animated, high dynamic learning resources classified as S TIER - S-TIER blogs are those that are animated, visual, interactive and absolutely blow your mind off - A-TIER are highly informative and you ll learn something - opinion blogs at the absolute bottom of the tier list because everyone everywhere ll always have an opinion about everyt…
https://visxai.io/ has a bunch more too — see the Hall of Fame section at the bottom for some of the highlights.
I also made a dozen of these a couple years ago, my two favorites:
- https://pair.withgoogle.com/explorables/fill-in-the-blank/
Re: A Visual Introduction to Machine Learning (2015)
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Re: A Visual Introduction to Machine Learning (2015)
#26One of the creators of R2D3 here. Funny to wake up to this today! Happy to answer questions here or on bsky
If I would like to build a visualization like this, but for a data ingestion pipeline, any tips on where to start? I have it visually in my head, but it feels overwhelming getting it into a website.
Sort of like this? https://docs.tecton.ai/docs/introduction/interactive-tour I used https://github.com/xyflow/xyflow for this, with css animations for the edges. It’s probably easier now with coding agents and what not
Re: A Visual Introduction to Machine Learning (2015)
#27It is a masterpiece! Each time I give an introduction to machine learning, I use this explorable explanation. There is a collection of a few more here: https://p.migdal.pl/interactive-machine-learning-list/
Nice list! I remember HN talking about https://students.brown.edu/seeing-theory/ when it came out but sadly it seems like this website was discomissioned.
Added an entry for my data visualisation tool here: https://github.com/stared/interactive-machine-learning-list/....
Edit: found an updated link for seeing theory so I fixed it in the PR above. Feel free to cherry-pick if #24 is not relevant.
Re: A Visual Introduction to Machine Learning (2015)
#28One of the creators of R2D3 here. Funny to wake up to this today! Happy to answer questions here or on bsky
If I would like to build a visualization like this, but for a data ingestion pipeline, any tips on where to start? I have it visually in my head, but it feels overwhelming getting it into a website.
fwiw I work on data ingestion pipelines and I've found that starting with just boxes-and-arrows in something like Excalidraw gets you 80% of the way to knowing what you actually want. The gap between "I can picture it" and "I can build it on a webpage" is mostly a d3 learning curve problem, not a design problem.
xyflow that the creator mentioned is probably the right call for pipeline DAGs though -- we use it internally for visualizing our scraping workflows and it was surprisingly painless to get running
Re: A Visual Introduction to Machine Learning (2015)
#29Did they not have mobile responsive sites in 2015? Lol
2015 was about the last year you could get away with publishing an interactive graphic with a fixed width — this made it harder do really creative/original work.
Re: A Visual Introduction to Machine Learning (2015)
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