A visual introduction to machine learning (2015) | Hacker News Reader

A visual introduction to machine learning (2015)

r2d3.us

241 pointsfagnerbrack21 comments

Funny to see this on the homepage today. Part 1 was done so long ago now that looking back on that code is equal parts intimidating and embarrassing.

Maybe this is the motivation I need to actually fix that stupid feet/meter thing.

Haha. I remember this. Thanks for creating this back in the day. It was good fun and a good intro.

The animation is amazing and scrolling through the article is really cool.

But reading the article you are constantly stuck negotiating where the text is on and off screen and where the animation is.

Yeah! This was done before CSS scroll-snap is a thing. I'd probably use scroll snap now. See: https://developer.mozilla.org/en-US/docs/Web/CSS/CSS_Scroll_...

Are there any tools in the market that would allow a business user to create such a visual story with zero or minimal coding?

https://www.ceros.com

Not zero coding, but idyll tries to shine in that space. You write markdown + variables and include some visualizations and out comes a scrollytelling site.

https://idyll-lang.org/docs

Second this. Idyll is the closest thing I know that makes this sort of thing approachable. Those dot animations are unfortunately very custom.

I've read a few things made with ArcGIS StoryMaps. While focused on interactive maps, it looks like it can be used for general multimedia stories as well: https://storymaps.arcgis.com/

Amazon has similar articles covering individual algorithms:

https://mlu-explain.github.io/

This is terrific! However it seems that the charts are using feet and the text is using meters. This should probably be addressed.

Previous threads >> https://hn.algolia.com/?q=a+visual+introduction+to+machine+l...

This was my first introduction to overfitting. Great explanation of that concept, in particular.

In case you wanted another, I wrote a similar visual explanation (though different visuals/narrative) covering the closely related Bias Variance Tradeoff!

https://mlu-explain.github.io/bias-variance/

Looks amazing, great work!

Yes, oldie but a goodie. In my bookmarks, *necro

The graphics are incredibly well done, props

This is excellent, really beautiful.

does anyone feel like this is viz overload to senses? My brain is screaming.

This could use a (2015) in the title. I remember first seeing it as a Show HN [0] post, and it still holds up today.

0: https://news.ycombinator.com/item?id=9955553

part 3 was not written...

Reply on news.ycombinator.com