Explore Machine Learning as a Knowledge Graph
And see how everything connects
TL;DR: Now you can play around with the Machine Learning Knowledge Graph Explorer I’ve been building. Check it out; it’s awesome.
Hey!
I spent my last week building the knowledge graph of machine learning, mapping out every concept and its relations.
With this, you can visualize subfields, the roots of machine learning (surprise: mathematics), the central concepts, and a bunch of other cool stuff, like tracing the prerequisites (yellow edges) and dependents (blue edges) of gradient descent.
Now you can explore them yourself with a little app I built Codex and Claude built. The app is publicly hosted on GitHub pages at https://the-palindrome.github.io/ml-knowledge-graph/, but you can check the source at https://github.com/the-palindrome/ml-knowledge-graph as well.
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Enjoy the graph explorer!
Cheers,
Tivadar
This is a fabulous direction, thank you! Great new (to me) approach, visualizations, series. Yay!