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The Architecture of Learning: From Statistics to Intelligence
- bulla 1y agoThis is superbly written.
- olooney 1y agoThen you may enjoy Elements of Statistical Learning[1] or Kevin Murphy's books[2][3][4], which this chapter is heavily indebted to; it is mostly a short gloss of the topics covered in those books. [1]: https://hastie.su.domains/ElemStatLearn/ https://hastie.su.domains/ElemStatLearn/ [2]: https://probml.github.io/pml-book/book0.html https://probml.github.io/pml-book/book0.html [3]: https://probml.github.io/pml-book/book1.html https://probml.github.io/pml-book/book1.html [4]: https://probml.github.io/pml-book/book2.html https://probml.github.io/pml-book/book2.html
- pfekin_2nd 1y agoThis is brilliant, thanks.
- thorum 1y ago"not a X, but a Y" - 8 matches "is more than a X... it is Y" - 3 matches "not just X, but Y" - 4 matches
- ForceBru 1y agoWhy not just say what you want to say??? Surely these statistics are supposed to suggest some "obvious" conclusion, probably that the article is somehow bad. What do you mean by these numbers???
- SchizoMode 1y agoThey're saying it was written by an LLM because of the style of writing.
- jal278 1y agoYeah -- I don't get why this is front-page -- reads like LLM quasi-insight: "Through activation, lifeless equations became living systems. The neuron was no longer a mere calculator; it was a decider - a locus of transformation where signal met significance." -- wtf
- godelski 1y agoMore than that, it uses a lot of words to say so little. Even a quick scan shows some pretty critical errors. In 76.4 Two parameters govern its perception: • ( ): neighborhood radius • ( MinPts ): minimum points per dense region Or later in 76.7 In Fuzzy C-Means (FCM), each point (x_i) receives membership values (u_{ik}) in ( 0,1 ), satisfying (k u{ik} = 1). The objective is to minimize: These are not human mistakes. They are categorically different Also, the math really smells of AI. It has equations but it is like they have no substance. It has the form, but not the feeling. I know all this math and looking through I don't know how anyone could learn from such text. I'm not sure how it could even serve as a good reference. Where are the derivations? Where are the corollaries? Where are the implications? The extensions? The... depth? 0/10. I think you would be worse off by reading this
- dazzaji 1y agoHere’s what Claude Sonnet 4.5 suggested to take this piece from something that sounds impressive but lacks substance to something that could actually deliver on its promise. I did this thought exercise to explore whether being AI-generated necessarily precludes brilliance. You be the judge - I think Claude succeeded in mapping the gap between the current draft and what a truly excellent version would actually require. https://claude.ai/share/46dd4b7e-9adf-473d-8372-22cb1ae34249 https://claude.ai/share/46dd4b7e-9adf-473d-8372-22cb1ae34249