The Architecture of Learning: From Statistics to Intelligence
little-book-of.github.io
The Architecture of Learning: From Statistics to Intelligence
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Re: The Architecture of Learning: From Statistics to Intelligence
#2This is superbly written.
Re: The Architecture of Learning: From Statistics to Intelligence
#3This is superbly written.
Then 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/
[2]: https://probml.github.io/pml-book/book0.html
Re: The Architecture of Learning: From Statistics to Intelligence
#4This is brilliant, thanks.
Re: The Architecture of Learning: From Statistics to Intelligence
#5"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
Re: The Architecture of Learning: From Statistics to Intelligence
#6"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
Why 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???
Re: The Architecture of Learning: From Statistics to Intelligence
#7"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
Why 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???
They're saying it was written by an LLM because of the style of writing.
Re: The Architecture of Learning: From Statistics to Intelligence
#8"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
Yeah -- 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
Re: The Architecture of Learning: From Statistics to Intelligence
#9"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
More 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
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:
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
Re: The Architecture of Learning: From Statistics to Intelligence
#10Here’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