6 ms·
A Visual Introduction to Machine Learning (2015)
- ayhanfuat 7mo agoThis is from 2015. Both technically and conceptually it was ahead of its time.
- mdp2021 7mo agoIt's a pity there seems not to be new (or other) material from Tony Hschu and Stephanie Jyee. (Or can anybody find something more?)
- Jhater 7mo agoJosh Starmers books are very visual as well, probably the best source I'd recommend to learn ML https://www.youtube.com/c/joshstarmer https://www.youtube.com/c/joshstarmer https://statquest.org/ https://statquest.org/
- longtermemory 7mo ago[dead]
- cake-rusk 7mo agoWhere's the rest of it?
- jojohack 7mo agoPart 2: https://r2d3.us/visual-intro-to-machine-learning-part-2/ https://r2d3.us/visual-intro-to-machine-learning-part-2/
- planerde 7mo ago[dead]
- deleted 7mo ago[deleted]
- shardullavekar 7mo agohas anyone come across an r2d3-style explainer for something as high-dimensional as a Transformer's attention mechanism?
- lamename 7mo agoNot quite, but these help https://poloclub.github.io/transformer-explainer/ https://poloclub.github.io/transformer-explainer/ https://youtu.be/wjZofJX0v4M?si=gT8Zlz1IY14KV_ju https://youtu.be/wjZofJX0v4M?si=gT8Zlz1IY14KV_ju
- stared 7mo agoIt 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/ https://p.migdal.pl/interactive-machine-learning-list/
- kengoa 7mo agoNice list! I remember HN talking about https://students.brown.edu/seeing-theory/ 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/pull/24 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.
- rottc0dd 7mo agoseeing-theory has a new link ig https://seeing-theory.brown.edu/ https://seeing-theory.brown.edu/
- smaili__ 7mo agoSo amazing, wish there were more articles like this. I love visual learning. Also reminds me of another blog post: https://pomb.us/build-your-own-react/ https://pomb.us/build-your-own-react/ , probably not directly the same, but similar-ish written blog posts, easy to stay on track and follow. It is so easy to learn with this kind of blog post.
- quickrefio 7mo agoR2D3 did an amazing job here. It’s rare to see statistical learning concepts explained visually this clearly.
- user_7832 7mo agoWhy the sudden rise in bot comments here? This comment is almost identical to another one in the thread (https://news.ycombinator.com/item?id=47392556 https://news.ycombinator.com/item?id=47392556), both by new, LLM using accounts.
- mileszhang 7mo ago[dead]
- tonyhschu 7mo agoOne of the creators of R2D3 here. Funny to wake up to this today! Happy to answer questions here or on bsky
- reader9274 7mo agoAny plans for more articles, 10 years later?
- Genbox 7mo agoIf 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.
- tonyhschu 7mo agoSort of like this? https://docs.tecton.ai/docs/introduction/interactive-tour https://docs.tecton.ai/docs/introduction/interactive-tour I used https://github.com/xyflow/xyflow https://github.com/xyflow/xyflow for this, with css animations for the edges. It’s probably easier now with coding agents and what not
- avabuildsdata 7mo agofwiw 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
- mvrckhckr 7mo agoThis is still great after more than a decade.
- sp4cec0wb0y 7mo agoDid they not have mobile responsive sites in 2015? Lol
- 1wheel 7mo ago2015 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.
- nullora 7mo agonice
- xpe 7mo agoThe balls-from-the-sky sieve-style animation* showing classifications literally falling out of the decision tree is my favorite part. I haven't seen this anywhere else (yet); this visualization technique deserves more percolation (pun intended). (#1) Not even to mention the fact that the animation is controlled by scrolling, which gives an intuitive control over play, pause, rewind, fast-forward, etc. Elegant and brilliant. (#2) Stunningly good also in the sense that it advances the story so people don't just drool at the pretty animation and stop engaging. Thus putting the "dark arts" in the service of learning. (#3) All three ideas warrant emulation in other contexts! * Find it towards the bottom under the "Making predictions" heading.
- vivzkestrel 7mo ago- 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://growingswe.com/blog https://growingswe.com/blog - https://ciechanow.ski/archives/ https://ciechanow.ski/archives/ - https://mlu-explain.github.io/ https://mlu-explain.github.io/ - https://seeing-theory.brown.edu/index.html#firstPage https://seeing-theory.brown.edu/index.html#firstPage - https://svg-tutorial.com/ https://svg-tutorial.com/ - https://www.lumafield.com/scan-of-the-month/health-wearables 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
- 1wheel 7mo agohttps://visxai.io/ 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/ https://pair.withgoogle.com/explorables/fill-in-the-blank/ - https://pair.withgoogle.com/explorables/grokking/ https://pair.withgoogle.com/explorables/grokking/
- davispeck 7mo ago[flagged]
- AlexDunit 7mo ago[dead]
- jazzpush2 7mo agoAmazing. A very cool niche area, dataviz x ai/ml. See also: - mlu-explain.github.io - visxai.io - google PAIR's explorables - GA Tech's poloclub.
- anesxvito 7mo ago[dead]
- useftmly 7mo ago[dead]
- stainlu 7mo ago[flagged]
- deleted 7mo ago[deleted]
- john2121 7mo agoHow r u